US20070255123A1 - Analyte testing device - Google Patents

Analyte testing device Download PDF

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Publication number
US20070255123A1
US20070255123A1 US11/747,396 US74739607A US2007255123A1 US 20070255123 A1 US20070255123 A1 US 20070255123A1 US 74739607 A US74739607 A US 74739607A US 2007255123 A1 US2007255123 A1 US 2007255123A1
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US
United States
Prior art keywords
data
testing device
lifestyle
analyte
user interface
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Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
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US11/747,396
Inventor
Elizabeth Cummings
Mary McEvoy
Lars Berger
Ulrich Kraft
Rainer Teucher
John Davis
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Diabetes Diagnostics Inc
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Diabetes Diagnostics Inc
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Publication date
Application filed by Diabetes Diagnostics Inc filed Critical Diabetes Diagnostics Inc
Priority to US11/747,396 priority Critical patent/US20070255123A1/en
Assigned to DIABETES DIAGNOSTICS, INC. reassignment DIABETES DIAGNOSTICS, INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: MCEVOY, MARY E., KRAFT, ULRICH, BERGER, LARS H., TEUCHER, RAINER R., CUMMINGS, ELIZABETH A., DAVIS, JOHN C.
Publication of US20070255123A1 publication Critical patent/US20070255123A1/en
Priority to US12/480,326 priority patent/US20090247838A1/en
Abandoned legal-status Critical Current

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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/74Details of notification to user or communication with user or patient ; user input means
    • A61B5/7475User input or interface means, e.g. keyboard, pointing device, joystick
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48Biological material, e.g. blood, urine; Haemocytometers
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/74Details of notification to user or communication with user or patient ; user input means
    • A61B5/742Details of notification to user or communication with user or patient ; user input means using visual displays
    • A61B5/743Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/483Physical analysis of biological material
    • G01N33/487Physical analysis of biological material of liquid biological material
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/483Physical analysis of biological material
    • G01N33/487Physical analysis of biological material of liquid biological material
    • G01N33/48785Electrical and electronic details of measuring devices for physical analysis of liquid biological material not specific to a particular test method, e.g. user interface or power supply
    • G01N33/48792Data management, e.g. communication with processing unit
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/20ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/70ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mental therapies, e.g. psychological therapy or autogenous training
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/63ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/14Devices for taking samples of blood ; Measuring characteristics of blood in vivo, e.g. gas concentration within the blood, pH-value of blood
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/145Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/14532Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring glucose, e.g. by tissue impedance measurement
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10STECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S128/00Surgery
    • Y10S128/92Computer assisted medical diagnostics

Definitions

  • the present invention relates to a testing device for testing analytes in samples of bodily fluid and storing and analysing lifestyle data, which may not be analyte related.
  • a preferred use of the testing device is for testing the glucose level in the blood of individuals, including people with diabetes.
  • Lifestyle data may, for example, comprise data related to the food consumption, exercise level, medication intake or other health related data of an individual.
  • An example of a use for such a testing device is by physicians, who routinely need to make an assessment of an individual's lifestyle.
  • Glucose monitoring is a fact of everyday life for diabetic individuals. The accuracy of such monitoring can significantly affect the health and ultimately the quality of life of the person with diabetes. Generally, a diabetic patient measures blood glucose levels several times a day to monitor and control blood sugar levels. Failure to test blood glucose levels accurately and on a regular basis can result in serious diabetes-related complications, including cardiovascular disease, kidney disease, nerve damage and blindness. There are a number of electronic devices currently available which enable an individual to test the glucose level in a small sample of blood. One such glucose meter is the OneTouch® ProfileTM glucose meter, a product which is manufactured by Lifescan.
  • diabetic individuals In addition to glucose monitoring, diabetic individuals often have to maintain tight control over their lifestyle, so that they are not adversely affected by, for example, irregular food consumption or exercise.
  • a physician dealing with a particular diabetic individual requires detailed information on the lifestyle of the individual to provide effective treatment or modification of treatment for controlling diabetes.
  • one of the ways of monitoring the lifestyle of an individual with diabetes has been for the individual to keep a paper logbook of their lifestyle. Another way is for an individual to simply rely on remembering facts about their lifestyle and then relay these details to their physician on each visit.
  • Paper logbooks are not necessarily always carried by an individual and may not be accurately completed when required. Such paper logbooks are small and it is therefore difficult to enter detailed information requiring detailed descriptors of lifestyle events. Furthermore, an individual may often forget key facts about their lifestyle when questioned by a physician who has to manually review and interpret information from a hand-written notebook. There is no analysis provided by the paper logbook to distil or separate the component information. Also, there are no graphical reductions or summary of the information. Entry of data into a secondary data storage system, such as a database or other electronic system, requires a laborious transcription of information, including lifestyle data, into this secondary data storage. Difficulty of data recordation encourages retrospective entry of pertinent information that results in inaccurate and incomplete records.
  • a diabetic individual often has to keep a plurality of devices on their person for diagnosis and treatment, for example both glucose level monitoring equipment and medication.
  • a plurality of devices on their person for diagnosis and treatment, for example both glucose level monitoring equipment and medication.
  • having to carry paper records of their lifestyle is an added unwanted burden and entry of data therein is very time consuming.
  • Lifestyle data should be taken to mean any quantifiable information which might affect or represent an individual's physical condition. Examples of lifestyle data are food consumption, physical exertion (e.g. exercise), medication intake and health checks performed on the individual.
  • a testing device for testing an analyte in a sample of bodily fluid comprising:
  • the testing device comprises a display screen, wherein the transfer means is a processor, the processor being adapted to access the data stored in the memory and display said data on the display screen.
  • the display screen may be a Liquid Crystal Display (LCD) screen able to render graphical objects in black and white, grayscale or colour.
  • LCD Liquid Crystal Display
  • Improved chemiluminescence and/or a backlight provide visual enhancements over prior-art testing devices.
  • use of the testing device is improved for individuals with impaired vision, which is particularly prevalent amongst people with diabetes.
  • the processor is further adapted to perform an analysis on the data and display results of said analysis on the display screen.
  • said analysis includes determining whether data lies outside a predetermined range.
  • Such analysis allows simple self-diagnosis by an individual of their condition using the testing device, thereby increasing the individual's awareness of their condition and encouraging changes in their lifestyle, where required. Additional information may be immediately added following determination that data lies outside a predetermined range. This ensures that lifestyle information is entered in a timely and therefore accurate way.
  • said analysis comprises averaging data stored in the memory over a predetermined time period.
  • said navigation means is adapted to select data for analysis or for display on the display screen.
  • the analyte data includes a pointer to a bodily location from which analyte sample was taken by an individual using the testing device.
  • the accuracy and interpretation of measurements performed by the testing device can be improved.
  • a user of the testing device or health care professional can more easily and accurately interpret the information provided in the data analysis performed by the testing device.
  • the analyte data resulting from the testing of the control solution is flagged and such data is not used in any analysis of results performed by the testing device.
  • said lifestyle data is stored in the memory as lifestyle records, each lifestyle record comprising:
  • said analyte data is stored in the memory as analyte records, each analyte record comprising:
  • each analyte record further comprises:
  • the time-stamp may be a multi-bit binary representation of the time and date for each record.
  • the pointer to a lifestyle event may be a multi-bit binary value which corresponds to each specific type of quantifiable lifestyle data.
  • said initiation means is a plurality of function-specific buttons, each function-specific button corresponding to a specific category of lifestyle data.
  • each function-specific button corresponding to a specific category of lifestyle data.
  • a testing device for testing an analyte in a sample of bodily fluid comprising:
  • a standard data entry approach for all types of lifestyle data is thus achieved, making the user interface easy to use and entry and manipulation of lifestyle data simple for an individual not familiar with each testing devices or for someone who is only uses the testing device occasionally. This way, use of the testing device for entry of lifestyle data is also encouraged.
  • the transfer means further transfers into said memory with said one or more selected values:
  • the user interface generation means is responsive to said navigation means, such that selectable categories of said data are displayed in the user interface, said navigation means being adapted to select said selectable options, the user interface generation means being responsive to selection of one of said selectable categories to display on the display screen data from the memory corresponding to a selected category of said data.
  • the testing device further comprises analysis means for performing an analysis on said data, wherein analysis options for each selectable category are displayed in the user interface, said navigation means being adapted to select said analysis options, the analysis means being responsive to selection of one of said analysis options to analyse said data stored in the memory, the user interface generation means being responsive to said analysis means to display results of said analysis on the display screen.
  • the results of said analysis may be displayed graphically on the display screen, for example, as graphs of different types of stored data against time.
  • said analysis comprises averaging said data stored in said memory over a predetermined time period, said predetermined time period being determined by selection of one of said analysis options.
  • the testing device further comprises one or more function-specific buttons, wherein:
  • said categories of lifestyle data comprise:
  • a testing device for testing an analyte in a sample of bodily fluid comprising:
  • a display screen and the prompt means is adapted to display messages on the display screen, said messages prompting a user of the testing device to enter lifestyle data associated with said analyte measurement.
  • said transfer means is a processor and said processor is adapted to perform an analysis on selected lifestyle data and/or analyte data and display results of said analysis on the display.
  • a testing device for testing an analyte in a sample of bodily fluid comprising:
  • said navigation means is further adapted to indicate to the memory said alternate bodily location, such that a pointer to said alternate location is stored with associated analyte data in the memory.
  • a display screen wherein said navigation means comprises a cursor button and an OK button, such that operation of the cursor button adapts the display screen to display one or more alternate bodily location options corresponding to one or more alternate bodily locations and operation of the OK button sends said alternate bodily location to the memory.
  • a testing device for testing an analyte in a sample of bodily fluid comprising:
  • the processor is further adapted to perform an analysis on selected data and display results of said analysis on the display screen.
  • the navigation means is one or more navigation buttons.
  • the navigation buttons consist of a cursor button, an OK button and a back button.
  • communication means adapted to transfer data between said memory and an external device.
  • diagnosis and treatment of an individual using the testing device is improved.
  • the use of a personal computer allows diagnosis and prescription of treatment from a remote location, since data stored in the testing device may be transferred from the testing device and transmitted, optionally via the Internet, to a physician anywhere in the world.
  • the testing device is a glucose meter and one of analytes being tested is glucose.
  • diagnosis and treatment of diabetes in an individual using the testing device is improved.
  • a method of storing lifestyle data related to the lifestyle of an individual in a testing device for testing an analyte in a sample of bodily fluid comprising the steps of:
  • a method of manipulating lifestyle data related to the lifestyle of an individual and analyte data stored in a testing device for testing an analyte in a sample of bodily fluid comprising the steps of:
  • the method further comprises the step of indicating a time period for analysis of said data before analysing said data, the step of analysing data comprising averaging data from said category of data over said time period.
  • a method of storing analyte data in a testing device for testing an analyte in a sample of bodily fluid comprising the steps of:
  • the step of flagging said analyte level in the memory comprises storing a pointer to said alternate bodily location with said analyte level in the memory.
  • the present invention provides a testing device for sampling and performing an analysis on a sample of bodily fluid, such as blood, and storing the results of said analysis, including means for inputting and storing inputted lifestyle data.
  • the present invention facilitates the monitoring of an individual's lifestyle by integrating into a single device the steps involved in sampling and analysing blood and recording other information about an individual's everyday life into a simple process employing a single device.
  • FIG. 1 is a three-dimensional representation of the testing device according to one embodiment of the present invention.
  • FIG. 2 a is a block diagram of the principal internal components of the testing device of FIG. 1 ;
  • FIG. 2 b shows a layer structure of functional components of the testing device of FIG. 1 .
  • FIG. 3 is a generic representation of a user interface displayed on a display screen of the testing device of FIG. 1 ;
  • FIG. 4 is a representation of a generalised lifestyle data entry sequence employed by the testing device of FIG. 1 ;
  • FIGS. 5 a to 5 d show specific data entry sequences for entry of food, medication, health and exercise related lifestyle data according to the generalised lifestyle data entry sequence of FIG. 4 ;
  • FIG. 6 a shows an information menu displayed in a user interface of the testing device of FIG. 1 for displaying data stored in the testing device;
  • FIG. 6 b shows a sample logbook screen displayed in the user interface of the testing device of FIG. 1 for displaying data stored in the testing device;
  • FIG. 7 shows a testing sequence for measuring glucose levels with the testing device of FIG. 1 through use of a test-strip inserted into the testing device;
  • FIG. 8 shows a generalised sequence for entering health, exercise and food comments following measurement of a glucose level.
  • a testing device ( 100 ) for testing glucose levels in the blood of an individual externally includes initiation means ( 102 ) for initiating entry of data related to specific category of lifestyle data, specifically function-specific buttons ( 108 , 110 , 112 , 114 ), and navigation means ( 104 ) for entry and navigation of data, specifically navigation buttons ( 118 , 120 , 122 ).
  • Lifestyle data is any information which is related to the everyday lifestyle of an individual. In the embodiment shown in FIG. 1 , lifestyle data is divided into four categories, namely food, medication, health and exercise categories, which relate respectively to food intake, medication use, the occurrence of health check-ups and general health condition and exercise levels of an individual.
  • a liquid crystal display screen ( 106 ) for displaying measured glucose levels and facilitating entry of lifestyle related information into the testing device ( 100 ).
  • Each category of lifestyle data has an associated function-specific button, operation of which immediately initiates a sequence for entry of data corresponding to the category of lifestyle to which the operated function-specific button relates.
  • the categories to which each of the function-specific buttons ( 102 ) relate are shown on the surface of the function-specific buttons ( 102 ) by a graphical representation.
  • the food category is represented on a food function-specific button ( 108 ) by a conventional “knife and fork” icon.
  • the function-specific buttons may have tactile icons on their surfaces, such tactile icons facilitating operation of the testing device by partially sighted or blind individuals. Operation of one of the function-specific buttons ( 102 ) when the testing device ( 100 ) is switched off, immediately switches the testing device on and initiates a sequence for entry of data.
  • the function-specific buttons ( 102 ) ensure that a user of the testing device ( 100 ) does not need to navigate through a complex and unfamiliar menu system to enter lifestyle data. Instead, to immediately enter an applicable data entry sequence, a user merely needs to press one of the function-specific buttons ( 102 ).
  • the required function specific-button is easily determinable from the graphical icon on the button's surface.
  • An information button ( 116 ) is another function-specific button, but it does not relate to a specific category of lifestyle data. Instead, pressing the information button ( 116 ) immediately allows a user to view and analyse data stored in the testing device ( 100 ). Such data may be any data stored in the testing device ( 100 ), for example previously measured glucose levels or entered lifestyle information.
  • the navigation buttons ( 104 ) comprise an OK button ( 118 ), a back button ( 120 ) and a cursor button ( 122 ) and facilitate entry and analysis of data stored in the testing device by enabling a user to navigate through a user interface ( 250 ) displayed on the display screen ( 106 ).
  • the cursor button is bi-directional and has an upwards operative section ( 122 a ) and a downwards operative section ( 122 b ).
  • the testing device ( 100 ) is switched on by pressing any one of the function-specific buttons ( 102 ) or the back button ( 120 ). In addition, the testing device ( 100 ) is automatically switched on when a test-strip is inserted into test-strip port ( 124 ) for measurement of a glucose level in a sample of blood placed on the test-strip.
  • the testing device ( 100 ) can be switched off by holding down the back button ( 120 ) for a pre-defined period of time.
  • the display screen of the testing device ( 106 ) includes a backlight, which can be switched on or off by holding down the OK button ( 118 ) for a pre-defined period of time.
  • a communication port ( 126 ) on one side of the testing device ( 100 ) which accepts a connector attached to a connecting lead, thereby allowing the testing device ( 100 ) to be linked to an external device such as a personal computer.
  • the personal computer running appropriate software, allows entry and modification of set-up information (e.g. the current time and date and language), as well as being able to perform other analysis and display functions performed by the testing device ( 100 ).
  • the personal computer may be able to perform advanced analysis functions or transmit transferred data to another personal computer, optionally via the Internet, for improved diagnosis and treatment at a remote location. This way, improved treatment and diagnosis of diabetes by a medical practitioner is facilitated by being able to link the testing device ( 100 ) with the personal computer.
  • the testing device comprises a processor ( 200 ), which, in the testing device of FIG. 1 , is a 32-bit RISC microcontroller.
  • the processor is bi-directionally connected via I/O ports ( 214 ) to memory ( 202 ), which, in the testing device of FIG. 1 , is an EEPROM.
  • I/O ports ( 214 ) Also connected to the processor ( 200 ) via I/O ports ( 214 ) are the communication port ( 126 ), the navigation buttons ( 104 ), the function-specific buttons ( 102 ) and a display screen driver ( 236 ).
  • the communication port ( 126 ) is serially connected to the processor ( 200 ), thereby enabling transfer of data between the memory ( 202 ) and an external device, such as a personal computer.
  • the navigation buttons ( 104 ) and the function-specific buttons ( 102 ) are directly connected to the processor ( 200 ).
  • the processor ( 200 ) controls the display screen ( 106 ) via the display screen driver ( 236 ).
  • An Application Specific Integrated Circuit (ASIC) ( 204 ) implements electronic circuitry required to facilitate measurement of a glucose level from a sample of blood on a test-strip inserted into the test-strip port ( 124 ).
  • analogue voltages can be supplied to the ASIC ( 204 ) and measured from the ASIC ( 204 ) by the processor ( 200 ) through an internal A/D converter ( 216 ).
  • the processor ( 200 ) further comprises internally: a processor core ( 208 ), a ROM ( 210 ) containing computer code, RAM ( 212 ) and a clock ( 218 ), which provide control circuitry for components, which are connected externally to the processor ( 200 ) to the I/O ports ( 214 ) and A/D converter ( 216 ).
  • User interface generation means ( 252 ) generates a user interface ( 250 ) on the display screen ( 106 ) of the testing device ( 100 ).
  • the navigation means ( 104 ) (specifically the navigation buttons ( 104 ) in the described embodiment) and the initiation means ( 102 ) specifically the function-specific buttons ( 102 ) in the described embodiment) allow a user to interact with the user interface ( 250 ).
  • Transfer means ( 258 ) on instruction from the user interface generation means ( 252 ), transfers data stored in the memory ( 202 ) back to the user interface generation means ( 252 ) for display in the user interface ( 250 ).
  • prompt means ( 256 ) instructs the user interface generation means ( 252 ) to display a message prompting a user of the testing device ( 100 ) to enter lifestyle data following measurement of a glucose level from a sample of blood on a test strip inserted into the testing device ( 100 ).
  • FIG. 3 shows a generic user interface ( 250 ) generated by the user interface generation means ( 252 ) and displayed on the display screen ( 106 ). Selectable objects ( 304 ) are displayed in the user interface ( 250 ).
  • the user interface generation means ( 252 ) adapts the user interface ( 250 ) on operation of the navigation means ( 104 ), which in the presently described embodiment, are the navigation buttons ( 104 ).
  • the selectable objects ( 304 ) are highlighted by operating the cursor button ( 122 ).
  • the user interface generation means ( 252 ) adapts the user interface ( 250 ) such that the selectable objects ( 304 ) are highlighted in turn.
  • the selectable objects ( 304 ) are highlighted by a highlight bar ( 306 ), which inverts the contents of a rectangular area surrounding a highlighted selectable object ( 308 ).
  • a title ( 314 ) and a graphical icon ( 316 ) related to the most recently operated function-specific button ( 102 ) are displayed in the user interface ( 250 ). Both the title ( 314 ) and the graphical icon ( 316 ) correspond to the current screen being displayed in the user interface ( 250 ).
  • operation of the cursor button ( 122 ) on its upwards or downwards operative section ( 122 a , 122 b ) would cause the user interface generation means ( 252 ) to adapt the user interface ( 250 ) so that the current highlighted selectable object ( 308 ) becomes hidden and either the previous or next selectable object ( 312 , 310 ) is displayed.
  • the highlighted selectable object ( 308 ) is selected by activating the OK button ( 118 ).
  • operation of the back button ( 120 ) generally causes the user interface generation means ( 252 ) to return the user interface ( 250 ) to a previous state of the user interface ( 250 ), prior to the previous operation of the OK button ( 118 ), thereby ensuring data stored in the memory ( 202 ) remains unchanged from its state prior to operation of the OK button ( 118 ).
  • a generalised lifestyle data entry sequence ( 400 ) is described below with reference to FIG. 4 .
  • the user interface generation means ( 252 ) For each category of lifestyle data, the user interface generation means ( 252 ) generates a user interface ( 250 ) to query whether the current lifestyle data being input is for the present time and date or for another time and date.
  • Two selectable objects ( 304 ), namely time options ( 402 ) are displayed in the user interface ( 250 ).
  • Option A ( 402 a ) shows the current time and date and option B ( 402 b ) displays the message “Other time”.
  • a title ( 314 ) and a graphical icon ( 316 ) both corresponding to the category of lifestyle data selected by operation of one of the function specific buttons ( 102 ), are shown in the user interface ( 250 ).
  • a user of the testing device ( 100 ) can immediately recognise whereabouts in the user interface ( 250 ) they are.
  • ease of use and navigation of the user interface ( 250 ), especially in combination with operation of the back button ( 120 ), is improved.
  • the current date and time is used as time and date information for storing with lifestyle data entered in the current lifestyle data entry sequence ( 400 ).
  • the user interface generation means ( 252 ) starts a date and time selection sequence to set the time and date information for storing with lifestyle data entered in the current lifestyle data entry sequence ( 400 ).
  • the date and time selection sequence comprises: the user interface generation means ( 252 ) displaying selectable dates on the display screen ( 106 ), selection of a date, the user interface generation means ( 252 ) then displaying selectable times of day on the display screen ( 106 ) and selection of a time of day for entry of lifestyle data.
  • the user interface generation means ( 252 ) modifies the user interface ( 250 ) to display selectable objects ( 304 ) which are selectable sub-category options ( 404 ) for each category of lifestyle data.
  • the user interface generation means ( 252 ) is responsive to selection of one of the selectable sub-category options ( 404 ), such that a further set of selectable objects, specifically selectable value options ( 406 ), which are appropriate for a selected sub-category option ( 404 a ), are displayed in the user interface ( 250 ). It will be appreciated that the selectable value options ( 406 ) can be displayed alongside the selectable sub-category options ( 404 ) or in a separate screen in the user interface ( 250 ) entirely.
  • selectable values ( 408 ) On selection of a highlighted selectable value option ( 410 ), selectable values ( 408 ), which may be numerical or descriptive, can be viewed and selected as described above.
  • the selectable values ( 408 ) are shown either alongside the selectable value options ( 406 ), as shown in FIG. 3 , or in a separate screen in the user interface ( 250 ). Operation of the back button (f 120 ) allows a user to highlight other selectable value options ( 406 ), without a selectable value being selected for the current selected sub-category option ( 404 a ).
  • the transfer means ( 258 ) which is responsive to the user interface generation means ( 252 ), recognising that the OK button ( 118 ) has been operated, transfers one or more values ( 408 ) for the given sub-category of lifestyle data directly into the memory ( 202 ) of the testing device ( 100 ).
  • One of the sub-category options ( 404 ), value options ( 410 ) and/or values ( 408 ) may labeled “------”, selection of which skips entry of data for the selected lifestyle category, sub-category option or value option respectively by inserting a null value into the memory ( 202 ).
  • the generalised lifestyle data entry sequence ( 400 ) is now described in detail specifically in relation to entry of lifestyle data in the food category.
  • the time options ( 402 ) are displayed in the user interface ( 250 ).
  • food sub-category options ( 514 ) specifically labelled “Breakfast”, “Lunch”, “Dinner”, “Snack” and “Alcohol” are displayed in the user interface ( 250 ) for selection.
  • One of the food sub-category options is labelled “------”, selection of which skips entry of data and displays a logbook ( 560 ) in the user interface ( 250 ) (see below).
  • a default food sub-category option ( 515 ) is highlighted, the default food sub-category option ( 515 ) being determined by comparing pre-defined meal times with the current time.
  • the user interface ( 250 ) provides for intelligent interaction between a given user and the testing device ( 100 )
  • Selection of one of the food sub-category options ( 514 ), corresponding to “Breakfast”, “Lunch”, “Dinner” and “Snack” displays selectable food value options ( 516 ) in the user interface ( 250 ) labelled “Carbs”, “Fats”, “Calories” and “Proteins”, relating to carbohydrate, fat, calorific energy and protein intake.
  • selectable food value options ( 516 ) can be highlighted in turn by operation of the cursor button ( 122 ) and selected by operation of the OK button ( 118 ).
  • Food values ( 518 ) can be entered for one or more of the selectable food value options ( 516 ) (as described above). Any food values ( 518 ) that are selected and entered are stored in the memory ( 202 ) following entry of the last of the food values ( 518 ) (i.e. the food value relating to protein intake).
  • Selection of the “Alcohol” food sub-category option ( 517 ) immediately transfers a pointer corresponding to a unit of alcohol consumption into the memory ( 202 ), without displaying selectable value options ( 516 ) in the user interface ( 250 ).
  • the logbook ( 560 ) (see below) is displayed in the user interface ( 250 ).
  • the generalised lifestyle data entry sequence ( 400 ) is now described in detail specifically in relation to entry of lifestyle data in the medication category.
  • the time options ( 402 ) are displayed in the user interface ( 250 ).
  • medication sub-category options ( 524 ) nominally labelled “Pill A”, “Pill B”, “Insulin A”, “Insulin B”, “Pump Bolus” and “Pump Daily Total” are displayed in the user interface ( 250 ) for selection.
  • One of the medication sub-category options ( 524 ) is labelled “Exit Meds Entry”, selection of which skips the entry of data and displays the logbook ( 560 ) in the user interface ( 250 ) (see below).
  • Some of the aforementioned medication sub-category options ( 524 ) are customisable through a set-up sequence (described below) and need not necessarily relate to medication which is specifically for treatment of diabetes.
  • Selection of one of the medication sub-category options ( 524 ) displays one or more selectable medication value options ( 526 ) in the user interface ( 250 ).
  • Each of the selectable medication value options ( 526 ) can be selected by operation of the OK button ( 118 ) so that medication values ( 528 ) can be highlighted and selected for one or more of the selectable medication value options ( 526 ) corresponding to one of the selected medication sub-category options ( 524 ).
  • Entered medication values ( 528 ) are stored in the memory ( 202 ) with a pointer to the selected medication sub-category and the time and date information.
  • Previously selected medication values ( 528 ) are used as default medication values, in that a previously entered medication value for a given selectable medication value option and a given time of day (as specified in a set-up sequence of the testing device (see below)) becomes the medication value which is initially highlighted upon selection of a given selectable medication value option ( 526 ).
  • the user interface ( 250 ) provides for intelligent interaction between a given user and the testing device ( 100 ). Additionally, use of the cursor key ( 122 ) is minimised. Accordingly, the general usability of the testing device ( 100 ) is improved.
  • the generalised lifestyle data entry sequence ( 400 ) is now described in detail specifically in relation to entry of lifestyle data in the health category.
  • the time options ( 402 ) are displayed in the user interface ( 250 ).
  • health sub-category options ( 534 ) specifically labelled “Health Notes” and “Health Checks” are displayed in the user interface ( 250 ) for selection.
  • Selection of one of the selectable health value options ( 536 ) labelled “Ketones”, “HbAlc”, “Microalbumin”, “Cholesterol”, “Blood pressure” or “Weight/Height” displays one or more selectable health values ( 538 ), thereby permitting entry of one or more appropriate numerical values, which might be measured analyte levels, blood pressure, weight or height. Other possible analyte levels could also be measured, such as High Density Liproprotein (HDL), Low Density Lipoprotein (LDL) or triglyceride levels, for which there would be appropriate selectable health value options ( 536 ). Any entered health values ( 538 ) are stored in the memory ( 202 ) with the time and date information and a pointer to a corresponding health value option.
  • HDL High Density Liproprotein
  • LDL Low Density Lipoprotein
  • Any entered health values ( 538 ) are stored in the memory ( 202 ) with the time and date information and
  • Previously selected health values ( 538 ) are used as default health values, in that a previously entered health value for a given selectable health value option becomes the health value ( 538 ) which is initially highlighted upon selection of a given selectable health value option ( 536 ).
  • the user interface ( 250 ) provides for grease interaction between a user and the testing device ( 100 ). Additionally, use of the cursor key ( 122 ) is minimised. Accordingly, the general usability of the testing device ( 100 ) is improved.
  • Selection of one of the selectable health value options ( 536 ) labelled “Eye Exam”, “Foot Exam” or “Dr. Visit” causes a confirmation message ( 539 ) to be displayed in the user interface ( 250 ), requesting confirmation that a marker for one of these aforementioned selectable health value options ( 536 ) should be input into the memory ( 202 ). Further operation of the OK button ( 118 ) immediately stores in the memory ( 202 ) a marker for the selected health value option with the time and date information.
  • the aforementioned health value options ( 536 ) for the “Health Checks” health sub-category ( 534 b ) are again displayed in the user interface ( 250 ). This way, further health-checkup related information can be immediately entered, if required.
  • the generalised lifestyle data entry sequence ( 400 ) is now described in more detail specifically in relation to entry of lifestyle data in the exercise category.
  • the time options ( 402 ) are displayed in the user interface ( 250 ).
  • selectable exercise value options ( 546 ) specifically labelled “Exercise” and “Duration” are displayed in the user interface ( 250 ) for selection (there are no exercise sub-category options for entry of lifestyle data in the exercise category).
  • selectable exercise type values ( 548 a ) corresponding to an intensity of exercise can be selected, specifically “Mild”, “Moderate” and “Hard”. Additionally there is a selectable exercise value labelled as “------”, selection of which skips the entry of data and displays a logbook ( 560 ) in the user interface ( 250 ) (see below). Following selection of one of the selectable exercise duration values ( 548 a ), the “Duration” selectable exercise value option ( 546 b ) is highlighted and selectable exercise duration values ( 548 b ) corresponding to a duration of exercise can be entered.
  • the logbook ( 560 ) (see below) is displayed in the user interface ( 250 ).
  • the user interface ( 250 ) displays menu options ( 600 ) upon operation of the information button ( 116 ).
  • the information button ( 116 ) is referred to as a “FastFacts” button and the menu options ( 600 ) are collectively referred to as a “FastFacts Menu”.
  • the menu options ( 600 ) are entitled: “Logbook”, “Glucose by Meals”, “Glucose Analysis”, “Insulin Intake”, “Hypo Info”, “Food Averages”, “Health Checks” and “Help”.
  • Selection of the “Logbook” menu option ( 601 ) causes a logbook (see below) to be displayed in the user interface ( 250 ).
  • Selection of the “Glucose by Meals” menu option ( 602 ) allows measured glucose levels to be displayed for each day prior to the current day.
  • the analysis means ( 254 ) averages measured glucose levels stored in the memory ( 202 ) and displays on the display screen ( 106 ) for each day in one of the following four time-period categories (a) before and after breakfast; (b) before and after lunch; (c) before and after dinner; and (d) night.
  • the time-periods for the aforementioned categories are pre-defined through a set-up sequence of the testing device (see below).
  • Selection of the “Glucose Analysis”menu option ( 604 ) causes further menu options to be displayed relating to the analysis of measured glucose levels.
  • Measured glucose levels stored in the memory ( 202 ) can be displayed graphically (i.e. points plotted on a graph of date against measured glucose level) or in tabular form.
  • the analysis means ( 254 ) receives measured glucose levels from the memory ( 202 ) and passes analytical results to the user interface generation means ( 252 ) for displaying or plotting graphically on the display screen ( 106 ).
  • Measured glucose levels for each day can be displayed or the time of day can be selected (i.e.
  • values for averages of all glucose levels stored in the memory ( 202 ) can be calculated over a number of different time periods (e.g. 7, 14, 30, 60 and 90 days) and all displayed together on the display screen ( 106 ).
  • a user can easily navigate back for a re-selection of the time period by operation of the back button ( 120 ).
  • a longer or shorter time period can then be highlighted by operation of the cursor button ( 122 ) and selected by operation of the OK button ( 118 ) to view different results. Repetition of this procedure can help identify treatment trends or the impact of changes in treatment or lifestyle and its impact on measured glucose levels over time.
  • values for averages of all glucose levels stored in the memory ( 202 ) can be calculated for each time period of a day (as mentioned above) and displayed on the display screen ( 106 ). Moreover, values for averages of all glucose levels stored in the memory ( 202 ) can be calculated over a number of different time periods and displayed for three exercise periods, specifically “before exercise”, “during exercise” and “after exercise”.
  • Another analysis method allows range information to be displayed on the display screen. Such range information shows the proportions of averaged measured glucose levels which are above, within or below pre-defined ranges. Such ranges are determined in a testing device set-up sequence (see below). The range information is viewed as a percentage either before or after one of four pre-defined meal time-period categories (i.e. breakfast, lunch, dinner or night).
  • Selection of the “Insulin Intake” menu option ( 606 ) causes further menu options to be displayed relating to the intake of insulin, data for which has been entered through prior operation of the medication function-specific button ( 110 ).
  • the intake of different amounts of different types of insulin specified in a set-up sequence of the testing device can be viewed as average amounts over a given time period or as total amounts on each day prior to the current day.
  • Analysis means ( 254 ) processes the stored insulin data.
  • the total and average intake of insulin can be viewed on the display screen ( 106 ). Specifying the type of insulin may include specifying whether the insulin is given through a syringe or pump, or taken as a pill or inhaled.
  • Selection of the “Hypo Info” menu option ( 608 ) allows incidents of the diabetic “hypo” condition to be viewed.
  • the “hypo” condition is pre-defined in the testing device set-up sequence (as described below) as a configurable glucose level below which a diabetic individual is considered as being “hypo”.
  • the incidents of the diabetic “hypo” condition are viewed as the number of incidents which have occurred in a chosen time period for each of the following times of day: before breakfast, after breakfast, before lunch, after lunch, before dinner, after dinner and night.
  • Selection of the “food Averages” menu option ( 610 ), allows averages for previously entered data stored in the memory ( 202 ) relating to food consumption of an individual to be displayed on the display screen ( 106 ).
  • the analysis means ( 254 ) processes stored food related data according to options selected in the user interface ( 250 ) through operation of the navigation buttons ( 104 ). Carbohydrate and fat levels, calorific content and protein intake for each predefined time-period: “Breakfast”, “Lunch”, “Dinner” and “Snack” can be averaged by the analysis means ( 254 ) over selected time-periods and displayed on the display screen ( 106 ).
  • Selection of the “Health Checks” menu option ( 612 ) allows averages for entered data stored in the memory ( 202 ) relating to health checkups of an individual to be displayed on the display screen ( 106 ).
  • Displayed in the user interface ( 250 ) are the selectable health value options ( 536 ) relating to health checkups of an individual, along with the date of the last checkup and a value measured at the last checkup.
  • a logbook ( 560 ) is displayed in the user interface ( 250 ) following selection of the “Logbook” menu option ( 601 ).
  • Date and time records ( 650 ) stored in the memory ( 202 ) are displayed in the user interface ( 250 ) with associated data records ( 652 ), such as stored glucose levels and/or lifestyle data. Glucose levels are displayed with associated glucose comments ( 654 ) (see below). Operation of the navigation buttons ( 104 ) allows each data record ( 652 ) to be scrolled through in date and time order, with each record for a particular date and time being highlighted in turn, before the next time and date and corresponding records are displayed in the user interface ( 250 ).
  • Each data record ( 652 ) can be highlighted in turn by the navigation buttons ( 104 ) and selected by operation of the OK button ( 118 ).
  • Selection of a glucose data record ( 656 ) allows a glucose comment (see below) to be entered for the selected glucose data record.
  • Selection of a lifestyle data record ( 658 ) displays two options, labelled “Edit” and “Delete”, selection of which allows the selected lifestyle data record to be edited or deleted easily with few operations of the navigation buttons ( 104 ).
  • the sequence for editing of lifestyle data is similar to the generalised lifestyle data entry sequence ( 400 ) described above, except that previously entered values for the lifestyle data record being edited are pre-selected by the user from the logbook ( 560 ).
  • a testing sequence ( 700 ) for measuring a glucose level ( 708 ) of an individual is shown.
  • a test-strip is inserted into the test-strip port ( 124 ), which immediately turns on the testing device ( 100 ).
  • a default code ( 702 ) relating to calibration parameters used with the testing device for a particular type of test-strip is displayed in the display screen ( 106 ).
  • the code ( 702 ) can be changed by operation of the cursor button ( 122 ) and selected by operation of the OK button ( 118 ). If a particular type of test-strip has previously been used with the testing device ( 100 ) on a pre-defined number of occasions, then the corresponding code ( 702 ) of the test-strip is stored in the memory ( 202 ) and used as a default code ( 702 ), which is initially displayed in the display screen ( 106 ) of the testing device ( 100 ) following insertion of a test-strip into the test-strip port ( 124 ).
  • default code ( 702 ) is automatically selected without a user having to operate the OK key ( 102 ).
  • operation of the back button ( 120 ) allows a user to reselect the code ( 702 ).
  • one of a plurality of messages ( 706 ) is displayed on the display screen ( 106 ), requesting a blood sample to be applied to the test-strip.
  • operation of the cursor button ( 122 ) cycles through three messages ( 706 ) on the display screen ( 106 ), specifically “Apply Blood”, “Alternate Site” and “Control Solution”.
  • the testing device ( 100 ) can recognise for each individual measured glucose level ( 708 ) that a control solution is being applied to the test-strip or that blood is being taken from an alternate site on an individual. Normally, blood samples would be taken from the same bodily location on an individual.
  • an “alternate site” might be used, for example if the one bodily location becomes sensitive or inconvenient.
  • an alternate site might refer to an upper arm location if a lower arm location is normally used. If an alternate site for sampling of blood is used, it is important that this is recognised, particularly when analysis of the measured glucose levels is being performed at a later stage. Such information could be used in any future general investigation, using a number of people, into any differences in analyte levels in blood samples extracted from different locations on the body.
  • a solution, blood or otherwise can be applied to the test-strip.
  • Measurement of a glucose level in the solution takes place following application of the solution to the test-strip.
  • the measured glucose level ( 708 ) is displayed in the display screen ( 106 ) and stored in the memory ( 202 ) together with the date and time of day and whether the blood sample was taken from an alternate site on an individual.
  • the prompt means ( 256 ) instructs the user interface generation means ( 252 ) to display a message ( 709 ) in the user interface ( 250 ) prompting a user of the testing device ( 100 ) to press the OK button ( 118 ), so that lifestyle data in the form of glucose comments (see below) which are associated with the measured glucose level ( 708 ) can be entered.
  • Two pre-defined target ranges can be specified for each meal time, specifically for a period before and after each meal time. Thus, by pressing one of the navigation buttons ( 104 ), in this case the OK button ( 118 ), lifestyle data can be entered immediately.
  • glucose comment insertion sequence ( 800 ) Glucose comments ( 654 ) are descriptive comments which fall into one of a number of glucose comment sub-categories ( 802 ), specifically a food comment sub-category, a health comment sub-category and an exercise comment sub-category.
  • the glucose comments ( 654 ) are stored in the memory with an associated measured glucose level ( 708 ) and are displayed in the logbook ( 560 ).
  • the glucose comment insertion sequence ( 800 ) can be initiated from the logbook ( 560 ) by operation of the OK button ( 118 ) when a glucose data record ( 656 ) is highlighted in the user interface ( 250 ).
  • Each of the glucose connect sub-categories ( 802 ) can be highlighted in turn by operation of the cursor button ( 122 ) and selected by operation of the OK button ( 118 ).
  • For each of the glucose comment sub-categories ( 802 ), one of the glucose comments ( 654 ) can be selected, except for the health comment sub-category ( 802 b ), for which, following insertion of one health glucose comment, causes the user interface ( 250 ) to be adapted such that an additional health glucose comment can be inserted. This way, up to six health glucose comments can be selected and stored with the measured glucose level ( 708 ) in the memory ( 202 ).
  • the following food glucose comments ( 654 a ) can be selected and stored in the memory ( 202 ): “Bef Brkft”, “Aft Brkft”, “Bef Lunch”, “Aft Lunch”, “Bef Dinner”, “Aft Dinner” and “Night”, corresponding to before breakfast, after breakfast, before lunch, after lunch, before dinner, after dinner and night.
  • the following health glucose comments ( 654 b ) can be selected and stored in the memory ( 202 ): “Stress”, “Feel Hypo”, “Illness”, “Menses”, “Vacation” and “Other”, having self-explanatory meanings.
  • the following exercise glucose comments ( 654 c ) can be selected and stored in the memory ( 202 ): “Before”, “During” and “After”, having self-explanatory meanings.
  • a “Save” option ( 802 d ) which can be highlighted by operation of the cursor button ( 122 ). Selection of the “Save” option ( 802 d ) causes the transfer means ( 258 ) to transfer the measured glucose level ( 708 ), with any glucose comments ( 654 ) which have been entered, into the memory ( 202 ) with time and date information.
  • the testing device ( 100 ) has a set-up sequence which is initiated when the testing device ( 100 ) is used for the first time or when the OK button ( 118 ) and the back button ( 120 ) are operated together.
  • the set-up sequence allows customisation of the operation of the testing device ( 100 ) through the user interface ( 250 ).
  • Customisable settings are stored in the memory ( 202 ) for use in data entry, display or analysis. In particular, the following are examples of customisable settings: the language used in the user interface ( 250 ), the current time and date, the number of doses and types of insulin taken by an individual using the testing device ( 100 ), whether an insulin pump is used by a user using the testing device ( 100 ) and the number and type of different pills taken by an individual using the testing device.
  • the timers of day for different meal periods can be set.
  • Glucose level ranges which are displayed as horizontal lines on any graphs displayed by the testing device ( 100 ) in the display screen ( 106 ) can be specified for “before” and “after” meal periods.
  • a “Hypo” level can be set, which specifies a glucose level used to compare against measured glucose levels and generate a warning if a measured glucose level ( 708 ) is below this “Hypo” level.
  • the prompt means ( 256 ) can also immediately generate non-customisable warnings on the display screen ( 106 ) for high measured glucose levels (above 600 mg/dL) and low measured glucose levels (below 20 mg/dL).
  • the testing device of the present invention significantly reduces the obstacles associated with maintaining an accurate record of an individual's lifestyle.
  • the present invention promotes frequent monitoring for diabetic individuals by providing a simple, efficient way of recording, not only blood glucose levels, but also other information which is likely to affect an individual's prognosis.
  • the testing device provides and effective medication recordal system.
  • the device meets the requirements of the National Committee for Quality Assurance's (NCQA) Health Plan Employer Data and Information Set (HEDIS®).
  • HEDIS® provides standardised performance measures for providing individuals with information needed to reliably compare the performance of managed health care plans.

Abstract

The present invention is a testing device for testing analyte levels in bodily fluids. The testing device comprises memory (202) for storing data, said data being analyte data related to analyte measurements carried out by the meter and lifestyle data; initiation means (102) for initiating immediate entry of data related to a specific category of lifestyle data; navigation means (104) for entry and navigation of said data; and transfer means (258) for transferring said data to said memory. Preferably, the testing device is a glucose meter and one of the analytes being tested is glucose.

Description

  • This application claims the benefits of U.S. patent application Ser. No. 10/454,559, filed on Jun. 3, 2003, which claims the benefit of U.K. Application No. 0212920.3, filed Jun. 5, 2002, which applications are herein fully incorporated by reference.
  • FIELD OF THE INVENTION
  • The present invention relates to a testing device for testing analytes in samples of bodily fluid and storing and analysing lifestyle data, which may not be analyte related. A preferred use of the testing device is for testing the glucose level in the blood of individuals, including people with diabetes. Lifestyle data may, for example, comprise data related to the food consumption, exercise level, medication intake or other health related data of an individual. An example of a use for such a testing device is by physicians, who routinely need to make an assessment of an individual's lifestyle.
  • BACKGROUND OF THE INVENTION
  • Glucose monitoring is a fact of everyday life for diabetic individuals. The accuracy of such monitoring can significantly affect the health and ultimately the quality of life of the person with diabetes. Generally, a diabetic patient measures blood glucose levels several times a day to monitor and control blood sugar levels. Failure to test blood glucose levels accurately and on a regular basis can result in serious diabetes-related complications, including cardiovascular disease, kidney disease, nerve damage and blindness. There are a number of electronic devices currently available which enable an individual to test the glucose level in a small sample of blood. One such glucose meter is the OneTouch® Profile™ glucose meter, a product which is manufactured by Lifescan.
  • In addition to glucose monitoring, diabetic individuals often have to maintain tight control over their lifestyle, so that they are not adversely affected by, for example, irregular food consumption or exercise. In addition, a physician dealing with a particular diabetic individual requires detailed information on the lifestyle of the individual to provide effective treatment or modification of treatment for controlling diabetes. Currently, one of the ways of monitoring the lifestyle of an individual with diabetes has been for the individual to keep a paper logbook of their lifestyle. Another way is for an individual to simply rely on remembering facts about their lifestyle and then relay these details to their physician on each visit.
  • The aforementioned methods of recording lifestyle information are inherently difficult, time consuming and possibly inaccurate. Paper logbooks are not necessarily always carried by an individual and may not be accurately completed when required. Such paper logbooks are small and it is therefore difficult to enter detailed information requiring detailed descriptors of lifestyle events. Furthermore, an individual may often forget key facts about their lifestyle when questioned by a physician who has to manually review and interpret information from a hand-written notebook. There is no analysis provided by the paper logbook to distil or separate the component information. Also, there are no graphical reductions or summary of the information. Entry of data into a secondary data storage system, such as a database or other electronic system, requires a laborious transcription of information, including lifestyle data, into this secondary data storage. Difficulty of data recordation encourages retrospective entry of pertinent information that results in inaccurate and incomplete records.
  • Moreover, a diabetic individual often has to keep a plurality of devices on their person for diagnosis and treatment, for example both glucose level monitoring equipment and medication. Hence, having to carry paper records of their lifestyle is an added unwanted burden and entry of data therein is very time consuming.
  • There currently exist a number of portable electronic devices that can measure glucose levels in an individual and store the levels for recalling or uploading to another computer for analysis. On such device is the Accu-Check™ Complete™ System from Roche Diagnostics, which provides limited functionality for storing lifestyle data. However, the Accu-Check™ Complete™ System only permits a limited selection of lifestyle variables to be stored in a meter. Also, there are only three navigation buttons on the meter, which makes it difficult to input lifestyle data. There is a no intelligent feedback from values previously entered into the meter and the user interface is unintuitive for an infrequent user of the meter.
  • Therefore, what is required is an electronic device for logging and analysing lifestyle data, which does not increase the number of devices an individual has to keep on their person and is also more intuitive and easier to use than other devices, thereby encouraging an individual to record information related to their lifestyle. Lifestyle data should be taken to mean any quantifiable information which might affect or represent an individual's physical condition. Examples of lifestyle data are food consumption, physical exertion (e.g. exercise), medication intake and health checks performed on the individual.
  • SUMMARY OF THE INVENTION
  • In view of the foregoing and in accordance one aspect of the present invention, there is provided a testing device for testing an analyte in a sample of bodily fluid, comprising:
      • memory for storing data, said data being analyte data related to analyte measurements carried out by the meter and lifestyle data;
      • initiation means for initiating entry of data related to a specific category of lifestyle data;
      • navigation means for entry and navigation of said data; and
      • transfer means for transferring said data to said memory.
  • Such a testing device provides simple and effective recordal of both analyte and lifestyle related data in a single, compact device. Input of lifestyle data can be initiated simply through use of the initiation means, without having to first perform an analyte measurement. Of course, it will be appreciated that the testing device could be used to measure only analyte levels, such as glucose levels for diagnosis and treatment of diabetes, without the added lifestyle functionality impinging on the usability of the testing device. Conversely, the testing device could also be used for diagnosis and treatment of diseases other than diabetes, either independently or in combination with diabetes tracking.
  • Preferably, the testing device comprises a display screen, wherein the transfer means is a processor, the processor being adapted to access the data stored in the memory and display said data on the display screen. The display screen may be a Liquid Crystal Display (LCD) screen able to render graphical objects in black and white, grayscale or colour. Improved chemiluminescence and/or a backlight provide visual enhancements over prior-art testing devices. Thus, use of the testing device is improved for individuals with impaired vision, which is particularly prevalent amongst people with diabetes.
  • Preferably, the processor is further adapted to perform an analysis on the data and display results of said analysis on the display screen.
  • Preferably, said analysis includes determining whether data lies outside a predetermined range. Such analysis allows simple self-diagnosis by an individual of their condition using the testing device, thereby increasing the individual's awareness of their condition and encouraging changes in their lifestyle, where required. Additional information may be immediately added following determination that data lies outside a predetermined range. This ensures that lifestyle information is entered in a timely and therefore accurate way.
  • In one embodiment of the present invention, said analysis comprises averaging data stored in the memory over a predetermined time period.
  • Preferably, said navigation means is adapted to select data for analysis or for display on the display screen.
  • Preferably, the analyte data includes a pointer to a bodily location from which analyte sample was taken by an individual using the testing device. Thus, the accuracy and interpretation of measurements performed by the testing device can be improved. A user of the testing device or health care professional can more easily and accurately interpret the information provided in the data analysis performed by the testing device. Additionally, if a control solution is used as the analyte to be tested, the analyte data resulting from the testing of the control solution is flagged and such data is not used in any analysis of results performed by the testing device.
  • Preferably, said lifestyle data is stored in the memory as lifestyle records, each lifestyle record comprising:
      • a date and time-stamp;
      • a pointer to a lifestyle event, and
      • a lifestyle value.
  • Preferably, said analyte data is stored in the memory as analyte records, each analyte record comprising:
      • a date and time-stamp; and
      • an analyte value;
  • Preferably, each analyte record further comprises:
      • a pointer to a bodily location from which an analyte sample was taken by an individual using the testing device;
      • a pointer to a lifestyle event, and
      • a lifestyle value.
  • The time-stamp may be a multi-bit binary representation of the time and date for each record. The pointer to a lifestyle event may be a multi-bit binary value which corresponds to each specific type of quantifiable lifestyle data.
  • Preferably, said initiation means is a plurality of function-specific buttons, each function-specific button corresponding to a specific category of lifestyle data. Thus, entry of lifestyle data relating to a specific category of lifestyle data is quick and easy.
  • In view of the foregoing and in accordance a second aspect of the present invention, there is provided a testing device for testing an analyte in a sample of bodily fluid, comprising:
      • memory for storing data;
      • navigation means for entry and navigation of said data;
      • transfer means for transferring said data to said memory; and
      • user interface generation means for generating a user interface on a display screen,
      • wherein:
      • said data is analyte data related to analyte measurements carried out by the meter and lifestyle data;
      • said lifestyle data is arranged into one or more categories of lifestyle data;
      • said user interface has sub-category options for each category of lifestyle data;
      • said navigation means is adapted to select said sub-category options;
      • said user interface generation means is responsive to selection of a given sub-category option, such that value options for each of said sub-category options are displayed in the user interface;
      • said navigation means is adapted to select said value options;
      • said user interface generation means is responsive to selection of a value option, such that values for the selected value option are displayed in the user interface;
      • said navigation means is adapted to select said values; and
      • said transfer means is responsive to selection of said values for transferring one or more selected values into said memory.
  • A standard data entry approach for all types of lifestyle data is thus achieved, making the user interface easy to use and entry and manipulation of lifestyle data simple for an individual not familiar with each testing devices or for someone who is only uses the testing device occasionally. This way, use of the testing device for entry of lifestyle data is also encouraged.
  • Preferably, the transfer means further transfers into said memory with said one or more selected values:
      • a time-stamp; and
      • a pointer to the selected value option.
  • Preferably, the user interface generation means is responsive to said navigation means, such that selectable categories of said data are displayed in the user interface, said navigation means being adapted to select said selectable options, the user interface generation means being responsive to selection of one of said selectable categories to display on the display screen data from the memory corresponding to a selected category of said data.
  • Preferably, the testing device further comprises analysis means for performing an analysis on said data, wherein analysis options for each selectable category are displayed in the user interface, said navigation means being adapted to select said analysis options, the analysis means being responsive to selection of one of said analysis options to analyse said data stored in the memory, the user interface generation means being responsive to said analysis means to display results of said analysis on the display screen. The results of said analysis may be displayed graphically on the display screen, for example, as graphs of different types of stored data against time.
  • Preferably, said analysis comprises averaging said data stored in said memory over a predetermined time period, said predetermined time period being determined by selection of one of said analysis options.
  • Preferably, the testing device further comprises one or more function-specific buttons, wherein:
      • each function-specific button corresponds to an associated category of lifestyle data; and
      • the user interface generation means is responsive to operation of one of the function-specific buttons to immediately display said sub-category options for the associated category of lifestyle data in the user interface. Thus, entry of lifestyle data relating to a specific category of lifestyle data is quick and simple.
  • Preferably, said categories of lifestyle data comprise:
      • a food category relating to food intake of an individual;
      • a medication category relating to medication use of an individual;
      • a health category relating to health check-ups, health test results and/or health condition of an individual; and
      • an exercise category relating to exercise levels of an individual.
  • In accordance with a third aspect of the present invention, there is provided a testing device for testing an analyte in a sample of bodily fluid, comprising:
      • memory for storing data, said data being analyte data related to analyte measurements carried out by the testing device and lifestyle data;
      • navigation means for entry and navigation of said data;
      • transfer means for transferring said data to said memory; and
      • prompt means for prompting a user of the testing device to enter lifestyle data associated with an analyte measurement following a carrying out of said analyte measurement, if said analyte measurement lies outside a pre-defined range.
  • Preferably, there is further provided a display screen and the prompt means is adapted to display messages on the display screen, said messages prompting a user of the testing device to enter lifestyle data associated with said analyte measurement.
  • Preferably, said transfer means is a processor and said processor is adapted to perform an analysis on selected lifestyle data and/or analyte data and display results of said analysis on the display.
  • In accordance with a fourth aspect of the present invention, there is provided a testing device for testing an analyte in a sample of bodily fluid, comprising:
      • memory for storing analyte data; and
      • navigation means,
      • wherein:
      • said sample of bodily fluid is usually obtained from a specific bodily location on an individual; and
      • said navigation means is adapted to flag analyte data stored in the memory if said sample of bodily fluid is obtained from an alternate bodily location other than said specific bodily location following a carrying out of an analyte measurement.
  • Preferably, said navigation means is further adapted to indicate to the memory said alternate bodily location, such that a pointer to said alternate location is stored with associated analyte data in the memory.
  • In one embodiment of the present invention, there is further provided a display screen, and said navigation means comprises a cursor button and an OK button, such that operation of the cursor button adapts the display screen to display one or more alternate bodily location options corresponding to one or more alternate bodily locations and operation of the OK button sends said alternate bodily location to the memory.
  • In accordance with a fifth aspect of the present invention, there is provided a testing device for testing an analyte in a sample of bodily fluid, comprising:
      • memory adapted for storing data, said data being analyte data and lifestyle data;
      • a display screen;
      • a processor adapted to access said data and display said data on the display screen; and
      • navigation means adapted to be operated to select said data to be accessed by the processor.
  • Preferably, the processor is further adapted to perform an analysis on selected data and display results of said analysis on the display screen.
  • Preferably, the navigation means is one or more navigation buttons.
  • Preferably, the navigation buttons consist of a cursor button, an OK button and a back button.
  • In one embodiment of the present invention, there is provided communication means adapted to transfer data between said memory and an external device. Thus, diagnosis and treatment of an individual using the testing device is improved. In fact, the use of a personal computer allows diagnosis and prescription of treatment from a remote location, since data stored in the testing device may be transferred from the testing device and transmitted, optionally via the Internet, to a physician anywhere in the world.
  • Preferably, the testing device is a glucose meter and one of analytes being tested is glucose. Thus, diagnosis and treatment of diabetes in an individual using the testing device is improved.
  • In accordance with a sixth aspect of the present invention, there is provided a method of storing lifestyle data related to the lifestyle of an individual in a testing device for testing an analyte in a sample of bodily fluid, comprising the steps of:
      • indicating a specific category of lifestyle data to the testing device;
      • indicating a sub-category of lifestyle data to the testing device;
      • inputting a value into the testing device; and
      • storing the value in memory in the testing device.
  • In accordance with a seventh aspect of the present invention, there is provided a method of manipulating lifestyle data related to the lifestyle of an individual and analyte data stored in a testing device for testing an analyte in a sample of bodily fluid, said method comprising the steps of:
      • indicating a category of data to the testing device;
      • analysing data from said category of data, thereby generating analytical results; and
      • displaying said analytical results on a display screen on the testing device.
  • Preferably, the method further comprises the step of indicating a time period for analysis of said data before analysing said data, the step of analysing data comprising averaging data from said category of data over said time period.
  • In accordance with an eighth aspect of the present invention, there is provided a method of storing analyte data in a testing device for testing an analyte in a sample of bodily fluid, said method comprising the steps of:
      • obtaining a sample of bodily fluid from a bodily location, said sample of bodily fluid normally being obtained from a specific bodily location on the individual;
      • measuring an analyte level in the sample of bodily fluid;
      • storing said analyte level in memory in the testing device; and
      • flagging said analyte level in the memory if said sample of body fluid was obtained from an alternate bodily location other than said specific bodily location.
  • Preferably, the step of flagging said analyte level in the memory comprises storing a pointer to said alternate bodily location with said analyte level in the memory.
  • The present invention provides a testing device for sampling and performing an analysis on a sample of bodily fluid, such as blood, and storing the results of said analysis, including means for inputting and storing inputted lifestyle data.
  • The present invention facilitates the monitoring of an individual's lifestyle by integrating into a single device the steps involved in sampling and analysing blood and recording other information about an individual's everyday life into a simple process employing a single device.
  • BRIEF DESCRIPTION OF DRAWINGS
  • A specific embodiment is now described by way of example only and with reference to the accompanying drawings, in which:
  • FIG. 1 is a three-dimensional representation of the testing device according to one embodiment of the present invention;
  • FIG. 2 a is a block diagram of the principal internal components of the testing device of FIG. 1;
  • FIG. 2 b shows a layer structure of functional components of the testing device of FIG. 1.
  • FIG. 3 is a generic representation of a user interface displayed on a display screen of the testing device of FIG. 1;
  • FIG. 4 is a representation of a generalised lifestyle data entry sequence employed by the testing device of FIG. 1;
  • FIGS. 5 a to 5 d show specific data entry sequences for entry of food, medication, health and exercise related lifestyle data according to the generalised lifestyle data entry sequence of FIG. 4;
  • FIG. 6 a shows an information menu displayed in a user interface of the testing device of FIG. 1 for displaying data stored in the testing device;
  • FIG. 6 b shows a sample logbook screen displayed in the user interface of the testing device of FIG. 1 for displaying data stored in the testing device;
  • FIG. 7 shows a testing sequence for measuring glucose levels with the testing device of FIG. 1 through use of a test-strip inserted into the testing device; and
  • FIG. 8 shows a generalised sequence for entering health, exercise and food comments following measurement of a glucose level.
  • DETAILED DESCRIPTION OF DRAWINGS
  • The present invention will be described below relative to an illustrative embodiment. Those skilled in the art will appreciate that the present invention may be implemented in a number of different applications and embodiments and is not specifically limited in its application to the particular embodiment depicted herein. In particular, the present invention will be discussed below in connection with sampling blood, although those of ordinary skill will recognise that the device could be modified to be used with other types of fluids or analytes besides glucose.
  • Referring to FIG. 1, there is shown a testing device (100) for testing glucose levels in the blood of an individual. The testing device (100) externally includes initiation means (102) for initiating entry of data related to specific category of lifestyle data, specifically function-specific buttons (108, 110, 112, 114), and navigation means (104) for entry and navigation of data, specifically navigation buttons (118, 120, 122). Lifestyle data is any information which is related to the everyday lifestyle of an individual. In the embodiment shown in FIG. 1, lifestyle data is divided into four categories, namely food, medication, health and exercise categories, which relate respectively to food intake, medication use, the occurrence of health check-ups and general health condition and exercise levels of an individual. Further included on the testing device is a liquid crystal display screen (106) for displaying measured glucose levels and facilitating entry of lifestyle related information into the testing device (100).
  • Each category of lifestyle data has an associated function-specific button, operation of which immediately initiates a sequence for entry of data corresponding to the category of lifestyle to which the operated function-specific button relates. The categories to which each of the function-specific buttons (102) relate are shown on the surface of the function-specific buttons (102) by a graphical representation. The food category is represented on a food function-specific button (108) by a conventional “knife and fork” icon. There are similar suitable representations on a medication function-specific button (110), health function-specific button (112) and an exercise function-specific button (114). In an alternative embodiment, the function-specific buttons may have tactile icons on their surfaces, such tactile icons facilitating operation of the testing device by partially sighted or blind individuals. Operation of one of the function-specific buttons (102) when the testing device (100) is switched off, immediately switches the testing device on and initiates a sequence for entry of data.
  • The function-specific buttons (102) ensure that a user of the testing device (100) does not need to navigate through a complex and unfamiliar menu system to enter lifestyle data. Instead, to immediately enter an applicable data entry sequence, a user merely needs to press one of the function-specific buttons (102). The required function specific-button is easily determinable from the graphical icon on the button's surface. An information button (116) is another function-specific button, but it does not relate to a specific category of lifestyle data. Instead, pressing the information button (116) immediately allows a user to view and analyse data stored in the testing device (100). Such data may be any data stored in the testing device (100), for example previously measured glucose levels or entered lifestyle information.
  • The navigation buttons (104) comprise an OK button (118), a back button (120) and a cursor button (122) and facilitate entry and analysis of data stored in the testing device by enabling a user to navigate through a user interface (250) displayed on the display screen (106). The cursor button is bi-directional and has an upwards operative section (122 a) and a downwards operative section (122 b).
  • The testing device (100) is switched on by pressing any one of the function-specific buttons (102) or the back button (120). In addition, the testing device (100) is automatically switched on when a test-strip is inserted into test-strip port (124) for measurement of a glucose level in a sample of blood placed on the test-strip. The testing device (100) can be switched off by holding down the back button (120) for a pre-defined period of time. The display screen of the testing device (106) includes a backlight, which can be switched on or off by holding down the OK button (118) for a pre-defined period of time.
  • Additionally, there is a communication port (126) on one side of the testing device (100) which accepts a connector attached to a connecting lead, thereby allowing the testing device (100) to be linked to an external device such as a personal computer. The personal computer, running appropriate software, allows entry and modification of set-up information (e.g. the current time and date and language), as well as being able to perform other analysis and display functions performed by the testing device (100). In addition, the personal computer may be able to perform advanced analysis functions or transmit transferred data to another personal computer, optionally via the Internet, for improved diagnosis and treatment at a remote location. This way, improved treatment and diagnosis of diabetes by a medical practitioner is facilitated by being able to link the testing device (100) with the personal computer.
  • Referring to FIG. 2 a, the internal layout of the testing device (100) is shown. Internally, the testing device comprises a processor (200), which, in the testing device of FIG. 1, is a 32-bit RISC microcontroller. The processor is bi-directionally connected via I/O ports (214) to memory (202), which, in the testing device of FIG. 1, is an EEPROM. Also connected to the processor (200) via I/O ports (214) are the communication port (126), the navigation buttons (104), the function-specific buttons (102) and a display screen driver (236). The communication port (126) is serially connected to the processor (200), thereby enabling transfer of data between the memory (202) and an external device, such as a personal computer. The navigation buttons (104) and the function-specific buttons (102) are directly connected to the processor (200). The processor (200) controls the display screen (106) via the display screen driver (236).
  • An Application Specific Integrated Circuit (ASIC) (204) implements electronic circuitry required to facilitate measurement of a glucose level from a sample of blood on a test-strip inserted into the test-strip port (124). For the purpose of internal crosschecking, analogue voltages can be supplied to the ASIC (204) and measured from the ASIC (204) by the processor (200) through an internal A/D converter (216).
  • The processor (200) further comprises internally: a processor core (208), a ROM (210) containing computer code, RAM (212) and a clock (218), which provide control circuitry for components, which are connected externally to the processor (200) to the I/O ports (214) and A/D converter (216).
  • Referring to FIG. 2 b, a layer structure of the functional aspects of the testing device (100) is shown. User interface generation means (252) generates a user interface (250) on the display screen (106) of the testing device (100). The navigation means (104) (specifically the navigation buttons (104) in the described embodiment) and the initiation means (102) specifically the function-specific buttons (102) in the described embodiment) allow a user to interact with the user interface (250). Transfer means (258), on instruction from the user interface generation means (252), transfers data stored in the memory (202) back to the user interface generation means (252) for display in the user interface (250). Analysis means (254), under instruction from the user interface generation means (252), performs an analysis on data stored in the memory (202) and returns results of the analysis to the user interface generation means (252) for display in the user interface (250). When measured glucose levels are outside a pre-defined range, prompt means (256) instructs the user interface generation means (252) to display a message prompting a user of the testing device (100) to enter lifestyle data following measurement of a glucose level from a sample of blood on a test strip inserted into the testing device (100).
  • FIG. 3 shows a generic user interface (250) generated by the user interface generation means (252) and displayed on the display screen (106). Selectable objects (304) are displayed in the user interface (250). The user interface generation means (252) adapts the user interface (250) on operation of the navigation means (104), which in the presently described embodiment, are the navigation buttons (104).
  • The selectable objects (304) are highlighted by operating the cursor button (122). The user interface generation means (252) adapts the user interface (250) such that the selectable objects (304) are highlighted in turn. In the embodiment shown, the selectable objects (304) are highlighted by a highlight bar (306), which inverts the contents of a rectangular area surrounding a highlighted selectable object (308). A title (314) and a graphical icon (316) related to the most recently operated function-specific button (102) are displayed in the user interface (250). Both the title (314) and the graphical icon (316) correspond to the current screen being displayed in the user interface (250). Operation of the cursor button (122) on its upwards or downwards operative section (122 a, 122 b) will move the highlight bar (306) up or down through the selectable objects (304) respectively. However, it will be readily appreciated that a selectable object (308) could also be considered as highlighted by being the only selectable object (308) displayed in the user interface (250) at a given time. In such a case, operation of the cursor button (122) on its upwards or downwards operative section (122 a, 122 b) would cause the user interface generation means (252) to adapt the user interface (250) so that the current highlighted selectable object (308) becomes hidden and either the previous or next selectable object (312, 310) is displayed. The highlighted selectable object (308) is selected by activating the OK button (118).
  • In general navigation of the user interface (250) described herein, operation of the back button (120), unless otherwise specified, generally causes the user interface generation means (252) to return the user interface (250) to a previous state of the user interface (250), prior to the previous operation of the OK button (118), thereby ensuring data stored in the memory (202) remains unchanged from its state prior to operation of the OK button (118).
  • Referring to FIG. 4, activation of one of the function-specific buttons (102) relating to a specific category of lifestyle data starts a lifestyle data entry sequence (400) for the specific category of lifestyle data. A generalised lifestyle data entry sequence (400) is described below with reference to FIG. 4.
  • For each category of lifestyle data, the user interface generation means (252) generates a user interface (250) to query whether the current lifestyle data being input is for the present time and date or for another time and date. Two selectable objects (304), namely time options (402) are displayed in the user interface (250). Option A (402 a) shows the current time and date and option B (402 b) displays the message “Other time”. Throughout the lifestyle data entry sequence (400), a title (314) and a graphical icon (316), both corresponding to the category of lifestyle data selected by operation of one of the function specific buttons (102), are shown in the user interface (250). Thus, a user of the testing device (100) can immediately recognise whereabouts in the user interface (250) they are. Hence, ease of use and navigation of the user interface (250), especially in combination with operation of the back button (120), is improved.
  • If option A (402 a) is selected, the current date and time is used as time and date information for storing with lifestyle data entered in the current lifestyle data entry sequence (400).
  • If option B (402 b) is selected, the user interface generation means (252) starts a date and time selection sequence to set the time and date information for storing with lifestyle data entered in the current lifestyle data entry sequence (400). The date and time selection sequence comprises: the user interface generation means (252) displaying selectable dates on the display screen (106), selection of a date, the user interface generation means (252) then displaying selectable times of day on the display screen (106) and selection of a time of day for entry of lifestyle data.
  • Following selection of the date and time information, the user interface generation means (252) modifies the user interface (250) to display selectable objects (304) which are selectable sub-category options (404) for each category of lifestyle data. The user interface generation means (252) is responsive to selection of one of the selectable sub-category options (404), such that a further set of selectable objects, specifically selectable value options (406), which are appropriate for a selected sub-category option (404 a), are displayed in the user interface (250). It will be appreciated that the selectable value options (406) can be displayed alongside the selectable sub-category options (404) or in a separate screen in the user interface (250) entirely.
  • On selection of a highlighted selectable value option (410), selectable values (408), which may be numerical or descriptive, can be viewed and selected as described above. The selectable values (408) are shown either alongside the selectable value options (406), as shown in FIG. 3, or in a separate screen in the user interface (250). Operation of the back button (f120) allows a user to highlight other selectable value options (406), without a selectable value being selected for the current selected sub-category option (404 a). Once all desired selectable value options have been selected (i.e. an entire list of selectable value options has been scrolled through or had values entered), the transfer means (258), which is responsive to the user interface generation means (252), recognising that the OK button (118) has been operated, transfers one or more values (408) for the given sub-category of lifestyle data directly into the memory (202) of the testing device (100). Optionally, there may be a dedicated “Save” selectable value option (412), selection of which immediately transfers one or more values (408) for the given sub-category of lifestyle data directly into the memory (202) of the testing device (100). If one or more values, which are descriptive, have been entered, then a numerical value acting as a pointer to the descriptive value is transferred into the memory (202).
  • One of the sub-category options (404), value options (410) and/or values (408) may labeled “------”, selection of which skips entry of data for the selected lifestyle category, sub-category option or value option respectively by inserting a null value into the memory (202). Thus, there is a common approach for entry and editing of data in different lifestyle categories, which all have different sub-categories and support different types of data. Hence, it is easy to learn how to use the testing device (100) for manipulation and viewing of different types of data.
  • Referring to FIG. 5 a, the generalised lifestyle data entry sequence (400) is now described in detail specifically in relation to entry of lifestyle data in the food category. Upon operation of the food function-specific button (108), the time options (402), as described above, are displayed in the user interface (250). Having selected the time and date, food sub-category options (514), specifically labelled “Breakfast”, “Lunch”, “Dinner”, “Snack” and “Alcohol” are displayed in the user interface (250) for selection. One of the food sub-category options is labelled “------”, selection of which skips entry of data and displays a logbook (560) in the user interface (250) (see below). On initial display of the food sub-category options (514), a default food sub-category option (515) is highlighted, the default food sub-category option (515) being determined by comparing pre-defined meal times with the current time. Thus, the user interface (250) provides for intelligent interaction between a given user and the testing device (100)
  • Selection of one of the food sub-category options (514), corresponding to “Breakfast”, “Lunch”, “Dinner” and “Snack” displays selectable food value options (516) in the user interface (250) labelled “Carbs”, “Fats”, “Calories” and “Proteins”, relating to carbohydrate, fat, calorific energy and protein intake. Each of the selectable food value options (516) can be highlighted in turn by operation of the cursor button (122) and selected by operation of the OK button (118). Food values (518) can be entered for one or more of the selectable food value options (516) (as described above). Any food values (518) that are selected and entered are stored in the memory (202) following entry of the last of the food values (518) (i.e. the food value relating to protein intake).
  • Selection of the “Alcohol” food sub-category option (517) immediately transfers a pointer corresponding to a unit of alcohol consumption into the memory (202), without displaying selectable value options (516) in the user interface (250).
  • Following entry of lifestyle data for the food category, the logbook (560) (see below) is displayed in the user interface (250).
  • Referring to FIG. 5 b, the generalised lifestyle data entry sequence (400) is now described in detail specifically in relation to entry of lifestyle data in the medication category. Upon operation of the medication function-specific button (110), the time options (402), as described above, are displayed in the user interface (250). Having entered the time and data information, medication sub-category options (524), nominally labelled “Pill A”, “Pill B”, “Insulin A”, “Insulin B”, “Pump Bolus” and “Pump Daily Total” are displayed in the user interface (250) for selection. One of the medication sub-category options (524) is labelled “Exit Meds Entry”, selection of which skips the entry of data and displays the logbook (560) in the user interface (250) (see below). Some of the aforementioned medication sub-category options (524) are customisable through a set-up sequence (described below) and need not necessarily relate to medication which is specifically for treatment of diabetes.
  • Selection of one of the medication sub-category options (524) displays one or more selectable medication value options (526) in the user interface (250). Each of the selectable medication value options (526) can be selected by operation of the OK button (118) so that medication values (528) can be highlighted and selected for one or more of the selectable medication value options (526) corresponding to one of the selected medication sub-category options (524). Entered medication values (528) are stored in the memory (202) with a pointer to the selected medication sub-category and the time and date information.
  • Previously selected medication values (528) are used as default medication values, in that a previously entered medication value for a given selectable medication value option and a given time of day (as specified in a set-up sequence of the testing device (see below)) becomes the medication value which is initially highlighted upon selection of a given selectable medication value option (526). Thus, the user interface (250) provides for intelligent interaction between a given user and the testing device (100). Additionally, use of the cursor key (122) is minimised. Accordingly, the general usability of the testing device (100) is improved.
  • Referring to FIG. 5 c, the generalised lifestyle data entry sequence (400) is now described in detail specifically in relation to entry of lifestyle data in the health category. Upon operation of the health function-specific button (112), the time options (402), as described above, are displayed in the user interface (250). Having selected the time and date information, health sub-category options (534), specifically labelled “Health Notes” and “Health Checks” are displayed in the user interface (250) for selection.
  • Selection of the “Health Notes” health sub-category option (534 a), displays in the user interface (250) additional selectable health values (538) labelled “Stress”, “Feel Hypo”, “Illness”, “Menses”, “Vacation” and “Other”. Selection of one of the selectable health values (538) immediately transfers a corresponding comment with the time and date information into the memory (202). Following entry of lifestyle data for the “Health Notes” health sub-category option (534 a), the logbook (560) (see below) is displayed in the user interface (250).
  • Selection of the “Health Checks” health sub-category option (534 b), displays in the user interface (250) selectable health value options (536) labelled “Ketones”, “HbAlc”, “Microalbumin”, “Cholesterol”, “Blood pressure”, “Eye Exam”, “Foot Exam”, “Weight/Height” and “Dr. Visit”.
  • Selection of one of the selectable health value options (536) labelled “Ketones”, “HbAlc”, “Microalbumin”, “Cholesterol”, “Blood pressure” or “Weight/Height” displays one or more selectable health values (538), thereby permitting entry of one or more appropriate numerical values, which might be measured analyte levels, blood pressure, weight or height. Other possible analyte levels could also be measured, such as High Density Liproprotein (HDL), Low Density Lipoprotein (LDL) or triglyceride levels, for which there would be appropriate selectable health value options (536). Any entered health values (538) are stored in the memory (202) with the time and date information and a pointer to a corresponding health value option.
  • Previously selected health values (538) are used as default health values, in that a previously entered health value for a given selectable health value option becomes the health value (538) which is initially highlighted upon selection of a given selectable health value option (536). Thus, the user interface (250) provides for inteligent interaction between a user and the testing device (100). Additionally, use of the cursor key (122) is minimised. Accordingly, the general usability of the testing device (100) is improved.
  • Selection of one of the selectable health value options (536) labelled “Eye Exam”, “Foot Exam” or “Dr. Visit” causes a confirmation message (539) to be displayed in the user interface (250), requesting confirmation that a marker for one of these aforementioned selectable health value options (536) should be input into the memory (202). Further operation of the OK button (118) immediately stores in the memory (202) a marker for the selected health value option with the time and date information.
  • Following entry of lifestyle data for the health category labelled “Health Checks”, the aforementioned health value options (536) for the “Health Checks” health sub-category (534 b) are again displayed in the user interface (250). This way, further health-checkup related information can be immediately entered, if required.
  • Referring to FIG. 5 d, the generalised lifestyle data entry sequence (400) is now described in more detail specifically in relation to entry of lifestyle data in the exercise category. Upon operation of the exercise function-specific button (114), the time options (402), as described above, are displayed in the user interface (250). Having selected the time and date, selectable exercise value options (546), specifically labelled “Exercise” and “Duration” are displayed in the user interface (250) for selection (there are no exercise sub-category options for entry of lifestyle data in the exercise category).
  • For the “Exercise” selectable exercise value option (546 a), selectable exercise type values (548 a) corresponding to an intensity of exercise can be selected, specifically “Mild”, “Moderate” and “Hard”. Additionally there is a selectable exercise value labelled as “------”, selection of which skips the entry of data and displays a logbook (560) in the user interface (250) (see below). Following selection of one of the selectable exercise duration values (548 a), the “Duration” selectable exercise value option (546 b) is highlighted and selectable exercise duration values (548 b) corresponding to a duration of exercise can be entered. Similarly, there is a numerical value labelled “------”, selection of which skips the entry of data and displays a logbook (560) in the user interface (250) (see below). Following selection of one of the selectable exercise duration values (548 b) by operation of the OK button (118), the values for the exercise intensity and duration are transferred to the memory (202).
  • Following entry of lifestyle data for the exercise category, the logbook (560) (see below) is displayed in the user interface (250).
  • Referring to FIG. 6 a, the user interface (250) displays menu options (600) upon operation of the information button (116). The information button (116) is referred to as a “FastFacts” button and the menu options (600) are collectively referred to as a “FastFacts Menu”.
  • In the embodiment shown in FIG. 6 a, the menu options (600) are entitled: “Logbook”, “Glucose by Meals”, “Glucose Analysis”, “Insulin Intake”, “Hypo Info”, “Food Averages”, “Health Checks” and “Help”.
  • Selection of the “Logbook” menu option (601) causes a logbook (see below) to be displayed in the user interface (250). Selection of the “Glucose by Meals” menu option (602) allows measured glucose levels to be displayed for each day prior to the current day. The analysis means (254) averages measured glucose levels stored in the memory (202) and displays on the display screen (106) for each day in one of the following four time-period categories (a) before and after breakfast; (b) before and after lunch; (c) before and after dinner; and (d) night. The time-periods for the aforementioned categories are pre-defined through a set-up sequence of the testing device (see below).
  • Selection of the “Glucose Analysis”menu option (604) causes further menu options to be displayed relating to the analysis of measured glucose levels. Measured glucose levels stored in the memory (202) can be displayed graphically (i.e. points plotted on a graph of date against measured glucose level) or in tabular form. The analysis means (254) receives measured glucose levels from the memory (202) and passes analytical results to the user interface generation means (252) for displaying or plotting graphically on the display screen (106). Measured glucose levels for each day can be displayed or the time of day can be selected (i.e. before breakfast, after breakfast, before lunch, after lunch, before dinner, after dinner or night) such that only measured glucose levels for these particular time periods of day are plotted on the display screen (106). In addition, values for averages of all glucose levels stored in the memory (202) can be calculated over a number of different time periods (e.g. 7, 14, 30, 60 and 90 days) and all displayed together on the display screen (106).
  • A user can easily navigate back for a re-selection of the time period by operation of the back button (120). A longer or shorter time period can then be highlighted by operation of the cursor button (122) and selected by operation of the OK button (118) to view different results. Repetition of this procedure can help identify treatment trends or the impact of changes in treatment or lifestyle and its impact on measured glucose levels over time.
  • In a similar manner, values for averages of all glucose levels stored in the memory (202) can be calculated for each time period of a day (as mentioned above) and displayed on the display screen (106). Moreover, values for averages of all glucose levels stored in the memory (202) can be calculated over a number of different time periods and displayed for three exercise periods, specifically “before exercise”, “during exercise” and “after exercise”. Another analysis method allows range information to be displayed on the display screen. Such range information shows the proportions of averaged measured glucose levels which are above, within or below pre-defined ranges. Such ranges are determined in a testing device set-up sequence (see below). The range information is viewed as a percentage either before or after one of four pre-defined meal time-period categories (i.e. breakfast, lunch, dinner or night).
  • Selection of the “Insulin Intake” menu option (606) causes further menu options to be displayed relating to the intake of insulin, data for which has been entered through prior operation of the medication function-specific button (110). In particular, the intake of different amounts of different types of insulin specified in a set-up sequence of the testing device (see below) can be viewed as average amounts over a given time period or as total amounts on each day prior to the current day. Analysis means (254) processes the stored insulin data. In addition, the total and average intake of insulin can be viewed on the display screen (106). Specifying the type of insulin may include specifying whether the insulin is given through a syringe or pump, or taken as a pill or inhaled.
  • Selection of the “Hypo Info” menu option (608) allows incidents of the diabetic “hypo” condition to be viewed. The “hypo” condition is pre-defined in the testing device set-up sequence (as described below) as a configurable glucose level below which a diabetic individual is considered as being “hypo”. The incidents of the diabetic “hypo” condition are viewed as the number of incidents which have occurred in a chosen time period for each of the following times of day: before breakfast, after breakfast, before lunch, after lunch, before dinner, after dinner and night.
  • Selection of the “food Averages” menu option (610), allows averages for previously entered data stored in the memory (202) relating to food consumption of an individual to be displayed on the display screen (106). The analysis means (254) processes stored food related data according to options selected in the user interface (250) through operation of the navigation buttons (104). Carbohydrate and fat levels, calorific content and protein intake for each predefined time-period: “Breakfast”, “Lunch”, “Dinner” and “Snack” can be averaged by the analysis means (254) over selected time-periods and displayed on the display screen (106).
  • Selection of the “Health Checks” menu option (612) allows averages for entered data stored in the memory (202) relating to health checkups of an individual to be displayed on the display screen (106). Displayed in the user interface (250) are the selectable health value options (536) relating to health checkups of an individual, along with the date of the last checkup and a value measured at the last checkup.
  • Selection of the “Help” menu option (614) (not shown in FIG. 6 a), causes contact information for help in using the testing device (100) to be displayed on the display screen (106). For example such contact information may read “Contact LifeScan Customer Service or visit the Website at www.LifeScan.com”.
  • Referring to FIG. 6 b, a logbook (560) is displayed in the user interface (250) following selection of the “Logbook” menu option (601). Date and time records (650) stored in the memory (202) are displayed in the user interface (250) with associated data records (652), such as stored glucose levels and/or lifestyle data. Glucose levels are displayed with associated glucose comments (654) (see below). Operation of the navigation buttons (104) allows each data record (652) to be scrolled through in date and time order, with each record for a particular date and time being highlighted in turn, before the next time and date and corresponding records are displayed in the user interface (250). Each data record (652) can be highlighted in turn by the navigation buttons (104) and selected by operation of the OK button (118). Selection of a glucose data record (656) allows a glucose comment (see below) to be entered for the selected glucose data record. Selection of a lifestyle data record (658) displays two options, labelled “Edit” and “Delete”, selection of which allows the selected lifestyle data record to be edited or deleted easily with few operations of the navigation buttons (104). The sequence for editing of lifestyle data is similar to the generalised lifestyle data entry sequence (400) described above, except that previously entered values for the lifestyle data record being edited are pre-selected by the user from the logbook (560).
  • Operation of one of the function-specific buttons (102) corresponding to a particular category of lifestyle data, whilst viewing the logbook (560), allows immediate entry of lifestyle data using the time and date currently being shown in the user interface (250). Referring to FIG. 7, a testing sequence (700) for measuring a glucose level (708) of an individual is shown. A test-strip is inserted into the test-strip port (124), which immediately turns on the testing device (100). A default code (702) relating to calibration parameters used with the testing device for a particular type of test-strip is displayed in the display screen (106). The code (702) can be changed by operation of the cursor button (122) and selected by operation of the OK button (118). If a particular type of test-strip has previously been used with the testing device (100) on a pre-defined number of occasions, then the corresponding code (702) of the test-strip is stored in the memory (202) and used as a default code (702), which is initially displayed in the display screen (106) of the testing device (100) following insertion of a test-strip into the test-strip port (124). Unless the code (702) is changed, as described above, then after a pre-defined time period, then default code (702) is automatically selected without a user having to operate the OK key (102). However, following selection of the code (702), operation of the back button (120) allows a user to reselect the code (702).
  • Following selection of the code (702), one of a plurality of messages (706) is displayed on the display screen (106), requesting a blood sample to be applied to the test-strip. At this stage, operation of the cursor button (122) cycles through three messages (706) on the display screen (106), specifically “Apply Blood”, “Alternate Site” and “Control Solution”. This way, the testing device (100) can recognise for each individual measured glucose level (708) that a control solution is being applied to the test-strip or that blood is being taken from an alternate site on an individual. Normally, blood samples would be taken from the same bodily location on an individual. However, sometimes another location, an “alternate site”, might be used, for example if the one bodily location becomes sensitive or inconvenient. For example, an alternate site might refer to an upper arm location if a lower arm location is normally used. If an alternate site for sampling of blood is used, it is important that this is recognised, particularly when analysis of the measured glucose levels is being performed at a later stage. Such information could be used in any future general investigation, using a number of people, into any differences in analyte levels in blood samples extracted from different locations on the body.
  • When an appropriate message is displayed on the display screen (106), a solution, blood or otherwise, can be applied to the test-strip. Measurement of a glucose level in the solution takes place following application of the solution to the test-strip. The measured glucose level (708) is displayed in the display screen (106) and stored in the memory (202) together with the date and time of day and whether the blood sample was taken from an alternate site on an individual. If the measured glucose level (708) lies outside a pre-defined target range, then the prompt means (256) instructs the user interface generation means (252) to display a message (709) in the user interface (250) prompting a user of the testing device (100) to press the OK button (118), so that lifestyle data in the form of glucose comments (see below) which are associated with the measured glucose level (708) can be entered. Two pre-defined target ranges can be specified for each meal time, specifically for a period before and after each meal time. Thus, by pressing one of the navigation buttons (104), in this case the OK button (118), lifestyle data can be entered immediately. This way, when the measured glucose level (708) is outside a pre-defined target range (as specified in the testing device set-up sequence (see below)) a user is automatically prompted to enter a glucose comment. Thus, improved diagnosis on out-of-range glucose levels can made by a physician at a later stage.
  • If the measured glucose level (708) additionally lies below a pre-defined glucose “Hypo” level, then a further message is displayed on the display screen (106) querying whether a user of the testing device (100) should consider having a snack.
  • Referring to FIG. 8, operation of the OK button (118), following measurement of a glucose level, immediately starts a glucose comment insertion sequence (800). Glucose comments (654) are descriptive comments which fall into one of a number of glucose comment sub-categories (802), specifically a food comment sub-category, a health comment sub-category and an exercise comment sub-category. The glucose comments (654) are stored in the memory with an associated measured glucose level (708) and are displayed in the logbook (560). Thus, the status of an individual's food intake, health or exercise level can be immediately entered at the time of measurement of a glucose level. Additionally, the glucose comment insertion sequence (800) can be initiated from the logbook (560) by operation of the OK button (118) when a glucose data record (656) is highlighted in the user interface (250).
  • Each of the glucose connect sub-categories (802) can be highlighted in turn by operation of the cursor button (122) and selected by operation of the OK button (118). For each of the glucose comment sub-categories (802), there are a number of different glucose comments (654) which can be highlighted by operation of the cursor button (122) and selected by operation of the OK button (118). For each of the glucose comment sub-categories (802), one of the glucose comments (654) can be selected, except for the health comment sub-category (802 b), for which, following insertion of one health glucose comment, causes the user interface (250) to be adapted such that an additional health glucose comment can be inserted. This way, up to six health glucose comments can be selected and stored with the measured glucose level (708) in the memory (202).
  • For the food glucose comment sub-category (802 a), the following food glucose comments (654 a) can be selected and stored in the memory (202): “Bef Brkft”, “Aft Brkft”, “Bef Lunch”, “Aft Lunch”, “Bef Dinner”, “Aft Dinner” and “Night”, corresponding to before breakfast, after breakfast, before lunch, after lunch, before dinner, after dinner and night. For the health glucose comment sub-category (802 b), the following health glucose comments (654 b) can be selected and stored in the memory (202): “Stress”, “Feel Hypo”, “Illness”, “Menses”, “Vacation” and “Other”, having self-explanatory meanings. For the exercise glucose comment sub-category (802 c), the following exercise glucose comments (654 c) can be selected and stored in the memory (202): “Before”, “During” and “After”, having self-explanatory meanings.
  • also displayed in the user interface (250) with the glucose comment sub-categories is a “Save” option (802 d), which can be highlighted by operation of the cursor button (122). Selection of the “Save” option (802 d) causes the transfer means (258) to transfer the measured glucose level (708), with any glucose comments (654) which have been entered, into the memory (202) with time and date information.
  • The testing device (100) has a set-up sequence which is initiated when the testing device (100) is used for the first time or when the OK button (118) and the back button (120) are operated together. The set-up sequence allows customisation of the operation of the testing device (100) through the user interface (250). Customisable settings are stored in the memory (202) for use in data entry, display or analysis. In particular, the following are examples of customisable settings: the language used in the user interface (250), the current time and date, the number of doses and types of insulin taken by an individual using the testing device (100), whether an insulin pump is used by a user using the testing device (100) and the number and type of different pills taken by an individual using the testing device. Additionally, the timers of day for different meal periods (i.e. before breakfast, after breakfast, before lunch, after lunch, before dinner, after dinner and night) can be set. Glucose level ranges which are displayed as horizontal lines on any graphs displayed by the testing device (100) in the display screen (106) can be specified for “before” and “after” meal periods. Furthermore, a “Hypo” level can be set, which specifies a glucose level used to compare against measured glucose levels and generate a warning if a measured glucose level (708) is below this “Hypo” level.
  • The prompt means (256) can also immediately generate non-customisable warnings on the display screen (106) for high measured glucose levels (above 600 mg/dL) and low measured glucose levels (below 20 mg/dL).
  • In conclusion, the testing device of the present invention significantly reduces the obstacles associated with maintaining an accurate record of an individual's lifestyle. The present invention promotes frequent monitoring for diabetic individuals by providing a simple, efficient way of recording, not only blood glucose levels, but also other information which is likely to affect an individual's prognosis. By logging glucose and lifestyle information in the manner described herein, the testing device provides and effective medication recordal system. For instance, in the United States the device meets the requirements of the National Committee for Quality Assurance's (NCQA) Health Plan Employer Data and Information Set (HEDIS®). HEDIS® provides standardised performance measures for providing individuals with information needed to reliably compare the performance of managed health care plans.
  • It will of course be understood that the present invention has been described purely by way of examples only and that medications of detail can be made within the scope of the invention.

Claims (11)

1.-37. (canceled)
38. A testing device for testing an analyte in a sample of bodily fluid, comprising:
memory storing data, said data being analyte data related to analyte measurements carried out by the testing device and lifestyle data, and the analyte data includes:
a pointer to a bodily location from which an analyte sample was taken by an individual using the testing device, wherein the testing device utilizes a plurality of data pointers, each of said data pointers indicating a separate bodily location; and
at least one flag indicating that control solution was used as the analyte to tested and
initiation means for initiating immediate entry of data related to a specific category of lifestyle data;
navigation means for entry and navigation of said data; and
transfer means for transferring said data to said memory.
39. A testing device according to claim 38, further comprising a display screen, wherein the transfer means is a processor, the processor being adapted to access the data stored in the memory and display said data on the display screen.
40. A testing device according to claim 39, wherein the processor is further adapted to perform an analysis on the data and display results of said analysis on the display screen, said analysis including using said control solution flags to identify data wherein control solution was used as the analyte to be tested.
41. A testing device according to claim 40, wherein said analysis includes determining whether data lies outside a predetermined range, such that if said data lies outside that predetermined range, the analysis means displays a prompt on the display screen requesting input of one or more comments from a user of the testing device.
42. A testing device according to claim 41, wherein said analysis comprises averaging data stored in the memory over a predetermined time period.
43. A testing device according to claim 41, wherein said navigation means is adapted to select data for analysis or the display on the display screen.
44. A testing device according to claim 38, wherein said lifestyle data is stored in the memory as lifestyle records, each lifestyle record comprising:
a data and time-stamp;
a pointer to a lifestyle event; and
a lifestyle value.
45. A testing device according to claim 38, wherein said analyte data is stored in the memory as analyte records, each analyte record comprising:
a data and time-stamp; and
an analyte value.
46. A testing device according to claim 38, wherein each analyte record further comprises:
a pointer to a bodily location from which an analyte sample was taken by an individual using the testing device;
a pointer to a lifestyle event; and
a lifestyle value.
47. A testing device according to claim 38, wherein said initiation means is a plurality of function-specific buttons, each function-specific button corresponding to a specific category of lifestyle data.
US11/747,396 2002-06-05 2007-05-11 Analyte testing device Abandoned US20070255123A1 (en)

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Cited By (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090149717A1 (en) * 2007-12-10 2009-06-11 Jacob Brauer Interface for a health measurement and monitoring system
US20090187351A1 (en) * 2008-01-18 2009-07-23 Lifescan Scotland Ltd. Analyte testing method and system
EP2090996A1 (en) * 2008-02-16 2009-08-19 Roche Diagnostics GmbH Medical device
US20100041084A1 (en) * 2008-08-15 2010-02-18 Lifescan Scotland Ltd. Analyte testing method and system
USD611151S1 (en) * 2008-06-10 2010-03-02 Lifescan Scotland, Ltd. Test meter
USD611489S1 (en) 2008-07-25 2010-03-09 Lifescan, Inc. User interface display for a glucose meter
USD611372S1 (en) 2008-09-19 2010-03-09 Lifescan Scotland Limited Analyte test meter
USD611853S1 (en) 2008-03-21 2010-03-16 Lifescan Scotland Limited Analyte test meter
USD612275S1 (en) 2008-03-21 2010-03-23 Lifescan Scotland, Ltd. Analyte test meter
USD612279S1 (en) 2008-01-18 2010-03-23 Lifescan Scotland Limited User interface in an analyte meter
USD615431S1 (en) 2008-03-21 2010-05-11 Lifescan Scotland Limited Analyte test meter
US20100331652A1 (en) * 2009-06-29 2010-12-30 Roche Diagnostics Operations, Inc. Modular diabetes management systems
US20100331645A1 (en) * 2009-06-25 2010-12-30 Roche Diagnostics Operations, Inc. Methods and systems for wireless communication between a blood glucose meter and a portable communication device
US20100331651A1 (en) * 2009-06-29 2010-12-30 Roche Diagnostics Operations, Inc. Blood glucose management and interface systems and methods
US8115635B2 (en) 2005-02-08 2012-02-14 Abbott Diabetes Care Inc. RF tag on test strips, test strip vials and boxes
US8917184B2 (en) 2008-03-21 2014-12-23 Lifescan Scotland Limited Analyte testing method and system
US9033877B2 (en) 2011-02-23 2015-05-19 Roche Diabetes Care, Inc. Device and method for determining blood glucose characteristics
US9451907B2 (en) 2011-06-22 2016-09-27 Arkray, Inc. Measuring apparatus
WO2018132315A1 (en) * 2017-01-11 2018-07-19 Abbott Diabetes Care Inc. Systems, devices, and methods for experiential medication dosage calculations

Families Citing this family (233)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6391005B1 (en) 1998-03-30 2002-05-21 Agilent Technologies, Inc. Apparatus and method for penetration with shaft having a sensor for sensing penetration depth
US8346337B2 (en) 1998-04-30 2013-01-01 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8688188B2 (en) 1998-04-30 2014-04-01 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8465425B2 (en) 1998-04-30 2013-06-18 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US9066695B2 (en) 1998-04-30 2015-06-30 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8974386B2 (en) 1998-04-30 2015-03-10 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US6175752B1 (en) 1998-04-30 2001-01-16 Therasense, Inc. Analyte monitoring device and methods of use
US8480580B2 (en) 1998-04-30 2013-07-09 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US6949816B2 (en) 2003-04-21 2005-09-27 Motorola, Inc. Semiconductor component having first surface area for electrically coupling to a semiconductor chip and second surface area for electrically coupling to a substrate, and method of manufacturing same
US8641644B2 (en) 2000-11-21 2014-02-04 Sanofi-Aventis Deutschland Gmbh Blood testing apparatus having a rotatable cartridge with multiple lancing elements and testing means
JP3658651B2 (en) * 2000-11-30 2005-06-08 アークレイ株式会社 Measuring device with comment input function
US6560471B1 (en) 2001-01-02 2003-05-06 Therasense, Inc. Analyte monitoring device and methods of use
JP4498636B2 (en) 2001-04-27 2010-07-07 日本サーモスタット株式会社 Thermostat device
US9795747B2 (en) 2010-06-02 2017-10-24 Sanofi-Aventis Deutschland Gmbh Methods and apparatus for lancet actuation
US7981056B2 (en) 2002-04-19 2011-07-19 Pelikan Technologies, Inc. Methods and apparatus for lancet actuation
US7344507B2 (en) 2002-04-19 2008-03-18 Pelikan Technologies, Inc. Method and apparatus for lancet actuation
US9226699B2 (en) 2002-04-19 2016-01-05 Sanofi-Aventis Deutschland Gmbh Body fluid sampling module with a continuous compression tissue interface surface
US9427532B2 (en) 2001-06-12 2016-08-30 Sanofi-Aventis Deutschland Gmbh Tissue penetration device
US7749174B2 (en) 2001-06-12 2010-07-06 Pelikan Technologies, Inc. Method and apparatus for lancet launching device intergrated onto a blood-sampling cartridge
US7033371B2 (en) 2001-06-12 2006-04-25 Pelikan Technologies, Inc. Electric lancet actuator
US8337419B2 (en) 2002-04-19 2012-12-25 Sanofi-Aventis Deutschland Gmbh Tissue penetration device
CA2448902C (en) 2001-06-12 2010-09-07 Pelikan Technologies, Inc. Self optimizing lancing device with adaptation means to temporal variations in cutaneous properties
US7041068B2 (en) 2001-06-12 2006-05-09 Pelikan Technologies, Inc. Sampling module device and method
US7570980B2 (en) 2002-09-11 2009-08-04 Becton, Dickinson And Company Apparatus and method for monitoring blood glucose levels including convenient display of blood glucose value average and constituent values
US6989891B2 (en) 2001-11-08 2006-01-24 Optiscan Biomedical Corporation Device and method for in vitro determination of analyte concentrations within body fluids
US7022072B2 (en) * 2001-12-27 2006-04-04 Medtronic Minimed, Inc. System for monitoring physiological characteristics
US7004928B2 (en) 2002-02-08 2006-02-28 Rosedale Medical, Inc. Autonomous, ambulatory analyte monitor or drug delivery device
US9282925B2 (en) 2002-02-12 2016-03-15 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US8010174B2 (en) 2003-08-22 2011-08-30 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US9247901B2 (en) 2003-08-22 2016-02-02 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US8260393B2 (en) 2003-07-25 2012-09-04 Dexcom, Inc. Systems and methods for replacing signal data artifacts in a glucose sensor data stream
US6852104B2 (en) 2002-02-28 2005-02-08 Smiths Medical Md, Inc. Programmable insulin pump
US9795334B2 (en) 2002-04-19 2017-10-24 Sanofi-Aventis Deutschland Gmbh Method and apparatus for penetrating tissue
US7674232B2 (en) 2002-04-19 2010-03-09 Pelikan Technologies, Inc. Method and apparatus for penetrating tissue
US8267870B2 (en) 2002-04-19 2012-09-18 Sanofi-Aventis Deutschland Gmbh Method and apparatus for body fluid sampling with hybrid actuation
US7297122B2 (en) 2002-04-19 2007-11-20 Pelikan Technologies, Inc. Method and apparatus for penetrating tissue
US8702624B2 (en) 2006-09-29 2014-04-22 Sanofi-Aventis Deutschland Gmbh Analyte measurement device with a single shot actuator
US7232451B2 (en) 2002-04-19 2007-06-19 Pelikan Technologies, Inc. Method and apparatus for penetrating tissue
US8372016B2 (en) 2002-04-19 2013-02-12 Sanofi-Aventis Deutschland Gmbh Method and apparatus for body fluid sampling and analyte sensing
US7976476B2 (en) 2002-04-19 2011-07-12 Pelikan Technologies, Inc. Device and method for variable speed lancet
US8784335B2 (en) 2002-04-19 2014-07-22 Sanofi-Aventis Deutschland Gmbh Body fluid sampling device with a capacitive sensor
US7892183B2 (en) 2002-04-19 2011-02-22 Pelikan Technologies, Inc. Method and apparatus for body fluid sampling and analyte sensing
US9314194B2 (en) 2002-04-19 2016-04-19 Sanofi-Aventis Deutschland Gmbh Tissue penetration device
US8579831B2 (en) 2002-04-19 2013-11-12 Sanofi-Aventis Deutschland Gmbh Method and apparatus for penetrating tissue
US8221334B2 (en) 2002-04-19 2012-07-17 Sanofi-Aventis Deutschland Gmbh Method and apparatus for penetrating tissue
US9248267B2 (en) 2002-04-19 2016-02-02 Sanofi-Aventis Deustchland Gmbh Tissue penetration device
US7229458B2 (en) 2002-04-19 2007-06-12 Pelikan Technologies, Inc. Method and apparatus for penetrating tissue
US7901362B2 (en) 2002-04-19 2011-03-08 Pelikan Technologies, Inc. Method and apparatus for penetrating tissue
US7909778B2 (en) 2002-04-19 2011-03-22 Pelikan Technologies, Inc. Method and apparatus for penetrating tissue
US7491178B2 (en) 2002-04-19 2009-02-17 Pelikan Technologies, Inc. Method and apparatus for penetrating tissue
US8360992B2 (en) 2002-04-19 2013-01-29 Sanofi-Aventis Deutschland Gmbh Method and apparatus for penetrating tissue
US7331931B2 (en) 2002-04-19 2008-02-19 Pelikan Technologies, Inc. Method and apparatus for penetrating tissue
US7226461B2 (en) 2002-04-19 2007-06-05 Pelikan Technologies, Inc. Method and apparatus for a multi-use body fluid sampling device with sterility barrier release
US7547287B2 (en) 2002-04-19 2009-06-16 Pelikan Technologies, Inc. Method and apparatus for penetrating tissue
US8574895B2 (en) 2002-12-30 2013-11-05 Sanofi-Aventis Deutschland Gmbh Method and apparatus using optical techniques to measure analyte levels
ES2347248T3 (en) 2003-05-30 2010-10-27 Pelikan Technologies Inc. PROCEDURE AND APPLIANCE FOR FLUID INJECTION.
WO2004107964A2 (en) 2003-06-06 2004-12-16 Pelikan Technologies, Inc. Blood harvesting device with electronic control
WO2006001797A1 (en) 2004-06-14 2006-01-05 Pelikan Technologies, Inc. Low pain penetrating
US8282549B2 (en) 2003-12-09 2012-10-09 Dexcom, Inc. Signal processing for continuous analyte sensor
US20140121989A1 (en) 2003-08-22 2014-05-01 Dexcom, Inc. Systems and methods for processing analyte sensor data
WO2005033659A2 (en) 2003-09-29 2005-04-14 Pelikan Technologies, Inc. Method and apparatus for an improved sample capture device
US9351680B2 (en) 2003-10-14 2016-05-31 Sanofi-Aventis Deutschland Gmbh Method and apparatus for a variable user interface
EP1706026B1 (en) 2003-12-31 2017-03-01 Sanofi-Aventis Deutschland GmbH Method and apparatus for improving fluidic flow and sample capture
US7822454B1 (en) 2005-01-03 2010-10-26 Pelikan Technologies, Inc. Fluid sampling device with improved analyte detecting member configuration
JP3590054B1 (en) * 2004-02-26 2004-11-17 株式会社日立製作所 Blood glucose measurement device
WO2005114534A2 (en) * 2004-05-14 2005-12-01 Bayer Healthcare Llc Method and apparatus for implementing patient data download for multiple different meter types
US8828203B2 (en) 2004-05-20 2014-09-09 Sanofi-Aventis Deutschland Gmbh Printable hydrogels for biosensors
US9775553B2 (en) 2004-06-03 2017-10-03 Sanofi-Aventis Deutschland Gmbh Method and apparatus for a fluid sampling device
US9820684B2 (en) 2004-06-03 2017-11-21 Sanofi-Aventis Deutschland Gmbh Method and apparatus for a fluid sampling device
US20060001538A1 (en) * 2004-06-30 2006-01-05 Ulrich Kraft Methods of monitoring the concentration of an analyte
EP1776464B1 (en) 2004-08-13 2009-10-07 Egomedical Technologies AG Analyte test system for determining the concentration of an analyte in a physiological or aqueous fluid
EP1794695A2 (en) * 2004-09-23 2007-06-13 Novo Nordisk A/S Device for self-care support
CA2590521A1 (en) * 2004-12-13 2006-06-22 Bayer Healthcare Llc Marker for readings taken from alternative site tests
CA2593376C (en) * 2004-12-29 2013-07-16 Lifescan Scotland Limited Method of inputting data into an analyte testing device
US8652831B2 (en) 2004-12-30 2014-02-18 Sanofi-Aventis Deutschland Gmbh Method and apparatus for analyte measurement test time
ITBO20050002A1 (en) * 2005-01-04 2006-07-05 Giacomo Vespasiani METHOD AND SYSTEM FOR INTERACTIVE MANAGEMENT OF DATA CONCERNING AN INSULIN THERAPY IN SELF-CONTROL FOR A DIABETIC PATIENT
BRPI0606832A2 (en) * 2005-02-22 2009-07-21 Bayer Healthcare Llc iconic dial of markers for a meter
EP1894134A2 (en) * 2005-06-08 2008-03-05 AgaMatrix, Inc. Data collection system and interface
US8251904B2 (en) 2005-06-09 2012-08-28 Roche Diagnostics Operations, Inc. Device and method for insulin dosing
UY29721A1 (en) 2005-08-05 2007-03-30 Bayer Healthcare Llc METER WITH POSTPRANDIAL TIME ALARM TO PERFORM DETERMINATIONS
JP2009506331A (en) * 2005-08-31 2009-02-12 エゴメディカル テクノロジーズ アクチエンゲゼルシャフト Analyte inspection system using non-enzymatic analyte recognition components
EP1920246B1 (en) * 2005-08-31 2010-03-10 Egomedical Technologies AG Coagulation test system
WO2007041244A2 (en) 2005-09-30 2007-04-12 Intuity Medical, Inc. Multi-site body fluid sampling and analysis cartridge
US8801631B2 (en) 2005-09-30 2014-08-12 Intuity Medical, Inc. Devices and methods for facilitating fluid transport
US7941200B2 (en) * 2005-12-08 2011-05-10 Roche Diagnostics Operations, Inc. System and method for determining drug administration information
US7736310B2 (en) 2006-01-30 2010-06-15 Abbott Diabetes Care Inc. On-body medical device securement
EP1818009A1 (en) * 2006-02-11 2007-08-15 Roche Diagnostics GmbH Portable analysis device with setting mode selection
WO2007093482A1 (en) * 2006-02-16 2007-08-23 Novo Nordisk A/S A device and a method for managing data relating to blood glucose level for a person
BRPI0711337A2 (en) 2006-05-08 2011-08-30 Bayer Healthcare Llc electrochemical test sensor with reduced sample volume
US7586590B2 (en) * 2006-05-26 2009-09-08 Lifescan, Scotland, Ltd. Calibration code strip with permutative grey scale calibration pattern
US7593097B2 (en) * 2006-05-26 2009-09-22 Lifescan Scotland Limited Method for determining a test strip calibration code for use in a meter
US7474391B2 (en) * 2006-05-26 2009-01-06 Lifescan Scotland Limited Method for determining a test strip calibration code using a calibration strip
US7589828B2 (en) * 2006-05-26 2009-09-15 Lifescan Scotland Limited System for analyte determination that includes a permutative grey scale calibration pattern
US7474390B2 (en) * 2006-05-26 2009-01-06 Lifescan Scotland Limited Test strip with permutative grey scale calibration pattern
US20080177149A1 (en) * 2006-06-16 2008-07-24 Stefan Weinert System and method for collecting patient information from which diabetes therapy may be determined
US20080073208A1 (en) * 2006-09-08 2008-03-27 Chia-Nan Wang Biosensor Requiring No Code Card
US20080124692A1 (en) * 2006-10-26 2008-05-29 Mcevoy Mary Method for tutoring a user during use of a system for determining an analyte in a bodily fluid sample
US20080124693A1 (en) * 2006-10-26 2008-05-29 Mcevoy Mary System for determining an analyte in a bodily fluid sample that includes a graphics-based step-by-step tutorial module
US20130324823A1 (en) * 2006-11-20 2013-12-05 Modz Oy Measurement device, system and method
US20130331659A1 (en) * 2006-11-20 2013-12-12 Modz Oy User interface of a measurement device and system
US20080139910A1 (en) * 2006-12-06 2008-06-12 Metronic Minimed, Inc. Analyte sensor and method of using the same
WO2008071218A1 (en) * 2006-12-14 2008-06-19 Egomedical Swiss Ag Monitoring device
EP2109394B1 (en) * 2007-01-23 2018-05-23 Ascensia Diabetes Care Holdings AG Analyte-testing device
US7734323B2 (en) * 2007-01-24 2010-06-08 Smiths Medical Asd, Inc. Correction factor testing using frequent blood glucose input
WO2008092470A1 (en) * 2007-01-29 2008-08-07 Egomedical Swiss Ag Resealeable container for storing moisture sensitive test elements
EP1952756A1 (en) 2007-01-31 2008-08-06 F.Hoffmann-La Roche Ag Data processing device for processing readings from a blood sugar measurement device
US20080228056A1 (en) * 2007-03-13 2008-09-18 Michael Blomquist Basal rate testing using frequent blood glucose input
US20080235053A1 (en) * 2007-03-20 2008-09-25 Pinaki Ray Communication medium for diabetes management
US8758245B2 (en) * 2007-03-20 2014-06-24 Lifescan, Inc. Systems and methods for pattern recognition in diabetes management
US20080234943A1 (en) * 2007-03-20 2008-09-25 Pinaki Ray Computer program for diabetes management
US7751907B2 (en) 2007-05-24 2010-07-06 Smiths Medical Asd, Inc. Expert system for insulin pump therapy
US8221345B2 (en) 2007-05-30 2012-07-17 Smiths Medical Asd, Inc. Insulin pump based expert system
EP2162059B1 (en) 2007-06-12 2021-01-13 Sotera Wireless, Inc. Vital sign monitor and method for measuring blood pressure using optical, electrical, and pressure waveforms
US11330988B2 (en) 2007-06-12 2022-05-17 Sotera Wireless, Inc. Body-worn system for measuring continuous non-invasive blood pressure (cNIBP)
US11607152B2 (en) 2007-06-12 2023-03-21 Sotera Wireless, Inc. Optical sensors for use in vital sign monitoring
US8602997B2 (en) 2007-06-12 2013-12-10 Sotera Wireless, Inc. Body-worn system for measuring continuous non-invasive blood pressure (cNIBP)
US8160900B2 (en) 2007-06-29 2012-04-17 Abbott Diabetes Care Inc. Analyte monitoring and management device and method to analyze the frequency of user interaction with the device
ES2692209T3 (en) * 2007-08-29 2018-11-30 Lifescan Scotland Limited Data management system and method
ATE431932T1 (en) * 2007-09-19 2009-06-15 Hoffmann La Roche MARKING METHOD FOR REJECT MARKING OF TEST ELEMENTS
ITBO20070701A1 (en) * 2007-10-19 2009-04-20 Technogym Spa DEVICE FOR ANALYSIS AND MONITORING OF THE PHYSICAL ACTIVITY OF A USER.
US20090114538A1 (en) * 2007-11-07 2009-05-07 Takayama Hiroko Automated biochemical analyzer
WO2009076245A2 (en) * 2007-12-10 2009-06-18 Bayer Healthcare Llc Method and system for automatic time adjustment for an analyte-testing device
US20090177147A1 (en) 2008-01-07 2009-07-09 Michael Blomquist Insulin pump with insulin therapy coaching
US20090177154A1 (en) * 2008-01-08 2009-07-09 Michael Blomquist Insulin pump with convenience features
US20090177142A1 (en) 2008-01-09 2009-07-09 Smiths Medical Md, Inc Insulin pump with add-on modules
CN101498714A (en) * 2008-01-18 2009-08-05 生命扫描苏格兰有限公司 Analyte testing method and system
WO2009126900A1 (en) 2008-04-11 2009-10-15 Pelikan Technologies, Inc. Method and apparatus for analyte detecting device
EP2320787A1 (en) * 2008-05-07 2011-05-18 Lifescan, Inc. Analyte measurement and management device and associated methods
US8591410B2 (en) 2008-05-30 2013-11-26 Abbott Diabetes Care Inc. Method and apparatus for providing glycemic control
EP2293719B1 (en) 2008-05-30 2015-09-09 Intuity Medical, Inc. Body fluid sampling device -- sampling site interface
US8924159B2 (en) 2008-05-30 2014-12-30 Abbott Diabetes Care Inc. Method and apparatus for providing glycemic control
US8117481B2 (en) 2008-06-06 2012-02-14 Roche Diagnostics International Ag Apparatus and method for processing wirelessly communicated information within an electronic device
CA2726067C (en) 2008-06-06 2020-10-20 Intuity Medical, Inc. Detection meter and mode of operation
US8132037B2 (en) 2008-06-06 2012-03-06 Roche Diagnostics International Ag Apparatus and method for processing wirelessly communicated data and clock information within an electronic device
US10383556B2 (en) 2008-06-06 2019-08-20 Intuity Medical, Inc. Medical diagnostic devices and methods
CA2741822C (en) * 2008-10-27 2017-09-19 Lifescan Scotland Limited Methods and devices for mitigating esd events
US9117015B2 (en) 2008-12-23 2015-08-25 Roche Diagnostics Operations, Inc. Management method and system for implementation, execution, data collection, and data analysis of a structured collection procedure which runs on a collection device
US9918635B2 (en) 2008-12-23 2018-03-20 Roche Diabetes Care, Inc. Systems and methods for optimizing insulin dosage
US20120011125A1 (en) 2008-12-23 2012-01-12 Roche Diagnostics Operations, Inc. Management method and system for implementation, execution, data collection, and data analysis of a structured collection procedure which runs on a collection device
US10437962B2 (en) 2008-12-23 2019-10-08 Roche Diabetes Care Inc Status reporting of a structured collection procedure
US10456036B2 (en) * 2008-12-23 2019-10-29 Roche Diabetes Care, Inc. Structured tailoring
CN102265280A (en) 2008-12-23 2011-11-30 霍夫曼-拉罗奇有限公司 Management method and system for implementation, execution, data collection, and data analysis of a structured collection procedure which runs on a collection device
US8849458B2 (en) * 2008-12-23 2014-09-30 Roche Diagnostics Operations, Inc. Collection device with selective display of test results, method and computer program product thereof
US9375169B2 (en) 2009-01-30 2016-06-28 Sanofi-Aventis Deutschland Gmbh Cam drive for managing disposable penetrating member actions with a single motor and motor and control system
EP2228658A1 (en) 2009-03-13 2010-09-15 Roche Diagnostics GmbH Method for producing an analytical consumable
EP2425209A4 (en) 2009-04-29 2013-01-09 Abbott Diabetes Care Inc Method and system for providing real time analyte sensor calibration with retrospective backfill
US11896350B2 (en) 2009-05-20 2024-02-13 Sotera Wireless, Inc. Cable system for generating signals for detecting motion and measuring vital signs
US10973414B2 (en) 2009-05-20 2021-04-13 Sotera Wireless, Inc. Vital sign monitoring system featuring 3 accelerometers
US8956294B2 (en) 2009-05-20 2015-02-17 Sotera Wireless, Inc. Body-worn system for continuously monitoring a patients BP, HR, SpO2, RR, temperature, and motion; also describes specific monitors for apnea, ASY, VTAC, VFIB, and ‘bed sore’ index
US9596999B2 (en) 2009-06-17 2017-03-21 Sotera Wireless, Inc. Body-worn pulse oximeter
US20100330598A1 (en) * 2009-06-26 2010-12-30 Roche Diagnostics Operations, Inc. METHOD, SYSTEM, AND COMPUTER PROGRAM PRODUCT FOR PROVIDING BOTH AN ESTIMATED TRUE MEAN BLOOD GLUCOSE VALUE AND ESTIMATED GLYCATED HEMOGLOBIN (HbA1C) VALUE FROM STRUCTURED SPOT MEASUREMENTS OF BLOOD GLUCOSE
EP2455875A3 (en) * 2009-06-30 2013-01-16 Lifescan Scotland Limited System and method for diabetes management
WO2011008520A2 (en) * 2009-06-30 2011-01-20 Lifescan, Inc. Analyte testing methods and device for calculating basal insulin therapy
EP2284747A1 (en) 2009-08-12 2011-02-16 F. Hoffmann-La Roche AG Method of recording data for keeping diary of a medical testing or therapy
EP2473955A1 (en) * 2009-09-04 2012-07-11 Koninklijke Philips Electronics N.V. Clinical decision support
US11253169B2 (en) 2009-09-14 2022-02-22 Sotera Wireless, Inc. Body-worn monitor for measuring respiration rate
US10123722B2 (en) 2009-09-14 2018-11-13 Sotera Wireless, Inc. Body-worn monitor for measuring respiration rate
US10806351B2 (en) 2009-09-15 2020-10-20 Sotera Wireless, Inc. Body-worn vital sign monitor
US8527038B2 (en) 2009-09-15 2013-09-03 Sotera Wireless, Inc. Body-worn vital sign monitor
US8364250B2 (en) 2009-09-15 2013-01-29 Sotera Wireless, Inc. Body-worn vital sign monitor
US10420476B2 (en) 2009-09-15 2019-09-24 Sotera Wireless, Inc. Body-worn vital sign monitor
US8321004B2 (en) * 2009-09-15 2012-11-27 Sotera Wireless, Inc. Body-worn vital sign monitor
JP5657678B2 (en) * 2009-09-29 2015-01-21 ライフスキャン・スコットランド・リミテッドLifeScan Scotland, Ltd. Analyte testing method and device for diabetes management
US20110082711A1 (en) 2009-10-06 2011-04-07 Masimo Laboratories, Inc. Personal digital assistant or organizer for monitoring glucose levels
US8919605B2 (en) 2009-11-30 2014-12-30 Intuity Medical, Inc. Calibration material delivery devices and methods
US8882701B2 (en) 2009-12-04 2014-11-11 Smiths Medical Asd, Inc. Advanced step therapy delivery for an ambulatory infusion pump and system
US20110184268A1 (en) * 2010-01-22 2011-07-28 Abbott Diabetes Care Inc. Method, Device and System for Providing Analyte Sensor Calibration
CA2728831A1 (en) * 2010-01-22 2011-07-22 Lifescan, Inc. Diabetes management unit, method, and system
US9563743B2 (en) * 2010-02-25 2017-02-07 Lifescan Scotland Limited Analyte testing method and system with high and low blood glucose trends notification
US20110224564A1 (en) 2010-03-10 2011-09-15 Sotera Wireless, Inc. Body-worn vital sign monitor
WO2011129418A1 (en) * 2010-04-14 2011-10-20 アークレイ株式会社 Blood sugar level measurement device, blood sugar level measurement result display method, and blood sugar level measurement result display control program
US8965476B2 (en) 2010-04-16 2015-02-24 Sanofi-Aventis Deutschland Gmbh Tissue penetration device
US9173593B2 (en) 2010-04-19 2015-11-03 Sotera Wireless, Inc. Body-worn monitor for measuring respiratory rate
US8747330B2 (en) 2010-04-19 2014-06-10 Sotera Wireless, Inc. Body-worn monitor for measuring respiratory rate
US9339209B2 (en) 2010-04-19 2016-05-17 Sotera Wireless, Inc. Body-worn monitor for measuring respiratory rate
US8888700B2 (en) 2010-04-19 2014-11-18 Sotera Wireless, Inc. Body-worn monitor for measuring respiratory rate
US8979765B2 (en) 2010-04-19 2015-03-17 Sotera Wireless, Inc. Body-worn monitor for measuring respiratory rate
US9173594B2 (en) 2010-04-19 2015-11-03 Sotera Wireless, Inc. Body-worn monitor for measuring respiratory rate
US8239582B2 (en) 2010-05-27 2012-08-07 Cilag Gmbh International Hand-held test meter with disruption avoidance circuitry
US8532933B2 (en) 2010-06-18 2013-09-10 Roche Diagnostics Operations, Inc. Insulin optimization systems and testing methods with adjusted exit criterion accounting for system noise associated with biomarkers
WO2011162823A1 (en) * 2010-06-25 2011-12-29 Intuity Medical, Inc. Analyte monitoring methods and systems
US20110315564A1 (en) 2010-06-28 2011-12-29 Cilag Gmbh International Hand-held test meter with deep power conservation mode
CA3059188A1 (en) * 2010-09-28 2012-04-05 Lifescan Scotland Limited Analyte measurement method and system with error trapping
US8349612B2 (en) * 2010-11-15 2013-01-08 Roche Diagnostics Operations, Inc. Guided structured testing kit
US20140249432A1 (en) 2010-12-28 2014-09-04 Matt Banet Body-worn system for continuous, noninvasive measurement of cardiac output, stroke volume, cardiac power, and blood pressure
US20120173151A1 (en) 2010-12-29 2012-07-05 Roche Diagnostics Operations, Inc. Methods of assessing diabetes treatment protocols based on protocol complexity levels and patient proficiency levels
WO2012112891A1 (en) 2011-02-18 2012-08-23 Sotera Wireless, Inc. Modular wrist-worn processor for patient monitoring
US10357187B2 (en) 2011-02-18 2019-07-23 Sotera Wireless, Inc. Optical sensor for measuring physiological properties
US10136845B2 (en) 2011-02-28 2018-11-27 Abbott Diabetes Care Inc. Devices, systems, and methods associated with analyte monitoring devices and devices incorporating the same
US8766803B2 (en) 2011-05-13 2014-07-01 Roche Diagnostics Operations, Inc. Dynamic data collection
US8755938B2 (en) 2011-05-13 2014-06-17 Roche Diagnostics Operations, Inc. Systems and methods for handling unacceptable values in structured collection protocols
JP5930823B2 (en) * 2011-06-17 2016-06-08 アークレイ株式会社 measuring device
US20130006536A1 (en) 2011-06-28 2013-01-03 Lifescan, Inc. Hand-held test meter with unpowered usb connection detection circuit
US20130002266A1 (en) 2011-06-28 2013-01-03 Lifescan, Inc. Hand-held test meter with electromagnetic interference detection circuit
EP2551784A1 (en) * 2011-07-28 2013-01-30 Roche Diagnostics GmbH Method of controlling the display of a dataset
EP3750480B1 (en) 2011-08-03 2022-02-02 Intuity Medical, Inc. Body fluid sampling arrangement
US8623660B2 (en) * 2011-09-30 2014-01-07 Lifescan Scotland Limited Hand-held test meter with phase-shift-based hematocrit measurement circuit
US9317656B2 (en) 2011-11-23 2016-04-19 Abbott Diabetes Care Inc. Compatibility mechanisms for devices in a continuous analyte monitoring system and methods thereof
US9238100B2 (en) 2012-06-07 2016-01-19 Tandem Diabetes Care, Inc. Device and method for training users of ambulatory medical devices
US9211087B2 (en) 2012-10-18 2015-12-15 Animas Corporation Self-contained hand-held test device for single-use
US10383580B2 (en) 2012-12-31 2019-08-20 Abbott Diabetes Care Inc. Analysis of glucose median, variability, and hypoglycemia risk for therapy guidance
US9351670B2 (en) 2012-12-31 2016-05-31 Abbott Diabetes Care Inc. Glycemic risk determination based on variability of glucose levels
US10357606B2 (en) 2013-03-13 2019-07-23 Tandem Diabetes Care, Inc. System and method for integration of insulin pumps and continuous glucose monitoring
US10016561B2 (en) 2013-03-15 2018-07-10 Tandem Diabetes Care, Inc. Clinical variable determination
WO2014145335A1 (en) 2013-03-15 2014-09-18 Abbott Diabetes Care Inc. System and method to manage diabetes based on glucose median, glucose variability, and hypoglycemic risk
WO2014205412A1 (en) 2013-06-21 2014-12-24 Intuity Medical, Inc. Analyte monitoring system with audible feedback
US9529503B2 (en) * 2013-06-27 2016-12-27 Lifescan Scotland Limited Analyte-measurement system recording user menu choices
JP2017502306A (en) * 2014-01-10 2017-01-19 アセンシア・ディアベティス・ケア・ホールディングス・アーゲー Method and apparatus for graphically displaying blood glucose fluctuations
RU2555012C1 (en) * 2014-02-19 2015-07-10 Максим Юрьевич Андрианов Portable sample analyser
US20150324520A1 (en) * 2014-05-12 2015-11-12 Roche Diagnostics Operations, Inc. Blood Glucose Meter Supporting Contextual Data Filtering
US8979116B1 (en) * 2014-06-10 2015-03-17 Cheh-Kang Liu Retractable frame structure for baby trailer
US9669160B2 (en) 2014-07-30 2017-06-06 Tandem Diabetes Care, Inc. Temporary suspension for closed-loop medicament therapy
EP3050023B1 (en) * 2014-10-27 2021-08-25 Aseko, Inc. Subcutaneous outpatient management
USD742524S1 (en) 2014-11-17 2015-11-03 Bayer Healthcare Llc Analyte meter
KR102373815B1 (en) * 2015-08-31 2022-03-14 삼성전자주식회사 Test Apparatus and Control Method thereof
US10657224B2 (en) 2015-09-25 2020-05-19 Accenture Global Solutions Limited Monitoring and treatment dosage prediction system
WO2017096511A1 (en) * 2015-12-07 2017-06-15 香港商台北市生活智能科技有限公司 System for automatically obtaining treatment record
US10569016B2 (en) 2015-12-29 2020-02-25 Tandem Diabetes Care, Inc. System and method for switching between closed loop and open loop control of an ambulatory infusion pump
CN109789264B (en) 2016-09-27 2021-06-22 比格福特生物医药公司 Drug injection and disease management systems, devices and methods
KR101915728B1 (en) * 2016-10-24 2018-11-07 (주)오상헬스케어 Self diagnosis apparatus for health tester and method thereof
US11096624B2 (en) 2016-12-12 2021-08-24 Bigfoot Biomedical, Inc. Alarms and alerts for medication delivery devices and systems
USD836769S1 (en) 2016-12-12 2018-12-25 Bigfoot Biomedical, Inc. Insulin delivery controller
USD839294S1 (en) 2017-06-16 2019-01-29 Bigfoot Biomedical, Inc. Display screen with graphical user interface for closed-loop medication delivery
EP3651647A1 (en) 2017-07-13 2020-05-20 Bigfoot Biomedical, Inc. Multi-scale display of blood glucose information
US11083852B2 (en) 2017-12-12 2021-08-10 Bigfoot Biomedical, Inc. Insulin injection assistance systems, methods, and devices
US11464459B2 (en) * 2017-12-12 2022-10-11 Bigfoot Biomedical, Inc. User interface for diabetes management systems including flash glucose monitor
US11116899B2 (en) 2017-12-12 2021-09-14 Bigfoot Biomedical, Inc. User interface for diabetes management systems and devices
US11077243B2 (en) 2017-12-12 2021-08-03 Bigfoot Biomedical, Inc. Devices, systems, and methods for estimating active medication from injections
US11197964B2 (en) 2017-12-12 2021-12-14 Bigfoot Biomedical, Inc. Pen cap for medication injection pen having temperature sensor
US10987464B2 (en) 2017-12-12 2021-04-27 Bigfoot Biomedical, Inc. Pen cap for insulin injection pens and associated methods and systems
AU2018383743A1 (en) 2017-12-12 2020-07-23 Bigfoot Biomedical, Inc. Therapy assist information and/or tracking device and related methods and systems
CN111954966A (en) 2018-04-10 2020-11-17 坦德姆糖尿病护理股份有限公司 System and method for inductively charging a medical device
USD933827S1 (en) * 2019-11-13 2021-10-19 eTouch Medical Inc. Blood sugar machine

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4731726A (en) * 1986-05-19 1988-03-15 Healthware Corporation Patient-operated glucose monitor and diabetes management system
US5307263A (en) * 1992-11-17 1994-04-26 Raya Systems, Inc. Modular microprocessor-based health monitoring system
US5507288A (en) * 1994-05-05 1996-04-16 Boehringer Mannheim Gmbh Analytical system for monitoring a substance to be analyzed in patient-blood
US5822715A (en) * 1997-01-10 1998-10-13 Health Hero Network Diabetes management system and method for controlling blood glucose
US5840020A (en) * 1996-02-12 1998-11-24 Nokia Mobile Phones, Ltd. Monitoring method and a monitoring equipment
US6024699A (en) * 1998-03-13 2000-02-15 Healthware Corporation Systems, methods and computer program products for monitoring, diagnosing and treating medical conditions of remotely located patients
US6656114B1 (en) * 1998-11-30 2003-12-02 Novo Noadisk A/S Method and a system for assisting a user in a medical self treatment, said self treatment comprising a plurality of actions

Family Cites Families (28)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4320767A (en) * 1980-04-07 1982-03-23 Villa Real Antony Euclid C Pocket-size electronic cuffless blood pressure and pulse rate calculator with optional temperature indicator, timer and memory
US4935346A (en) 1986-08-13 1990-06-19 Lifescan, Inc. Minimum procedure system for the determination of analytes
US4793355A (en) * 1987-04-17 1988-12-27 Biomagnetic Technologies, Inc. Apparatus for process for making biomagnetic measurements
EP0290683A3 (en) 1987-05-01 1988-12-14 Diva Medical Systems B.V. Diabetes management system and apparatus
GB2218831A (en) * 1988-05-17 1989-11-22 Mark John Newland Personal medical apparatus
US5306623A (en) 1989-08-28 1994-04-26 Lifescan, Inc. Visual blood glucose concentration test strip
AU640162B2 (en) 1989-08-28 1993-08-19 Lifescan, Inc. Blood separation and analyte detection techniques
CN1036118C (en) * 1992-12-29 1997-10-15 陈立奇 Tumor image diagnostic method and system
US5497772A (en) * 1993-11-19 1996-03-12 Alfred E. Mann Foundation For Scientific Research Glucose monitoring system
AU706456B2 (en) 1995-03-27 1999-06-17 Lifescan, Inc. Chemical timer for a direct-reading reagent test strip
AU3596597A (en) * 1996-07-08 1998-02-02 Animas Corporation Implantable sensor and system for in vivo measurement and control of fluid constituent levels
JPH1033514A (en) * 1996-07-23 1998-02-10 Tadashi Kuroyanagi Portable calorie consumption measuring instrument
JPH10295651A (en) * 1997-04-28 1998-11-10 N T T Data:Kk System of health care and portable terminal unit
JPH1156822A (en) * 1997-08-19 1999-03-02 Omron Corp Blood sugar measuring instrument
JP2000060803A (en) * 1998-08-21 2000-02-29 Terumo Corp Blood sugar level information processing system
JP2000139844A (en) * 1998-11-06 2000-05-23 Tadashi Kuroyanagi Portable self-control device
CN1329471A (en) * 1998-11-30 2002-01-02 诺沃挪第克公司 Medical system and control method for assisting user in medical self treatment using said-system
US6067463A (en) * 1999-01-05 2000-05-23 Abbott Laboratories Method and apparatus for non-invasively measuring the amount of glucose in blood
WO2001028495A2 (en) * 1999-10-08 2001-04-26 Healthetech, Inc. Indirect calorimeter for weight control
EP1284642A4 (en) * 2000-05-25 2005-03-09 Healthetech Inc Physiological monitoring using wrist-mounted device
AU2001280615A1 (en) * 2000-07-18 2002-01-30 Healthetech, Inc. Closed loop glycemic index system
WO2002015777A1 (en) * 2000-08-18 2002-02-28 Cygnus, Inc. Methods and devices for prediction of hypoglycemic events
DE60141696D1 (en) 2000-08-22 2010-05-12 Encoate Holdings Ltd Thermostabile biomatrix
US20020026111A1 (en) * 2000-08-28 2002-02-28 Neil Ackerman Methods of monitoring glucose levels in a subject and uses thereof
JP3658651B2 (en) * 2000-11-30 2005-06-08 アークレイ株式会社 Measuring device with comment input function
EP1397068A2 (en) * 2001-04-02 2004-03-17 Therasense, Inc. Blood glucose tracking apparatus and methods
CN1337209A (en) * 2001-09-06 2002-02-27 安徽中科智能高技术有限责任公司 Non-injurious household cardiovascular function detecting method
JP2003173375A (en) * 2001-09-28 2003-06-20 Toshiba Corp Life management terminal device, life management method and life management system

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4731726A (en) * 1986-05-19 1988-03-15 Healthware Corporation Patient-operated glucose monitor and diabetes management system
US5307263A (en) * 1992-11-17 1994-04-26 Raya Systems, Inc. Modular microprocessor-based health monitoring system
US5507288A (en) * 1994-05-05 1996-04-16 Boehringer Mannheim Gmbh Analytical system for monitoring a substance to be analyzed in patient-blood
US5507288B1 (en) * 1994-05-05 1997-07-08 Boehringer Mannheim Gmbh Analytical system for monitoring a substance to be analyzed in patient-blood
US5840020A (en) * 1996-02-12 1998-11-24 Nokia Mobile Phones, Ltd. Monitoring method and a monitoring equipment
US5822715A (en) * 1997-01-10 1998-10-13 Health Hero Network Diabetes management system and method for controlling blood glucose
US6024699A (en) * 1998-03-13 2000-02-15 Healthware Corporation Systems, methods and computer program products for monitoring, diagnosing and treating medical conditions of remotely located patients
US6656114B1 (en) * 1998-11-30 2003-12-02 Novo Noadisk A/S Method and a system for assisting a user in a medical self treatment, said self treatment comprising a plurality of actions

Cited By (30)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8542122B2 (en) 2005-02-08 2013-09-24 Abbott Diabetes Care Inc. Glucose measurement device and methods using RFID
US8390455B2 (en) 2005-02-08 2013-03-05 Abbott Diabetes Care Inc. RF tag on test strips, test strip vials and boxes
US8358210B2 (en) 2005-02-08 2013-01-22 Abbott Diabetes Care Inc. RF tag on test strips, test strip vials and boxes
US8223021B2 (en) 2005-02-08 2012-07-17 Abbott Diabetes Care Inc. RF tag on test strips, test strip vials and boxes
US8115635B2 (en) 2005-02-08 2012-02-14 Abbott Diabetes Care Inc. RF tag on test strips, test strip vials and boxes
US9022931B2 (en) 2007-12-10 2015-05-05 Bayer Healthcare Llc Interface for a health measurement and monitoring system
US11450411B2 (en) 2007-12-10 2022-09-20 Ascensia Diabetes Care Holdings Ag Interface for a health measurement and monitoring system
US10548537B2 (en) 2007-12-10 2020-02-04 Ascensia Diabetes Care Holdings Ag Interface for a health measurement and monitoring system
US20090149717A1 (en) * 2007-12-10 2009-06-11 Jacob Brauer Interface for a health measurement and monitoring system
USD612274S1 (en) 2008-01-18 2010-03-23 Lifescan Scotland, Ltd. User interface in an analyte meter
USD612279S1 (en) 2008-01-18 2010-03-23 Lifescan Scotland Limited User interface in an analyte meter
US20090187351A1 (en) * 2008-01-18 2009-07-23 Lifescan Scotland Ltd. Analyte testing method and system
EP2090996A1 (en) * 2008-02-16 2009-08-19 Roche Diagnostics GmbH Medical device
US8917184B2 (en) 2008-03-21 2014-12-23 Lifescan Scotland Limited Analyte testing method and system
USD615431S1 (en) 2008-03-21 2010-05-11 Lifescan Scotland Limited Analyte test meter
US9626480B2 (en) 2008-03-21 2017-04-18 Lifescan Scotland Limited Analyte testing method and system
USD612275S1 (en) 2008-03-21 2010-03-23 Lifescan Scotland, Ltd. Analyte test meter
USD611853S1 (en) 2008-03-21 2010-03-16 Lifescan Scotland Limited Analyte test meter
USD611151S1 (en) * 2008-06-10 2010-03-02 Lifescan Scotland, Ltd. Test meter
USD611489S1 (en) 2008-07-25 2010-03-09 Lifescan, Inc. User interface display for a glucose meter
US8958991B2 (en) 2008-08-15 2015-02-17 Lifescan Scotland Limited Analyte testing method and system
US20100041084A1 (en) * 2008-08-15 2010-02-18 Lifescan Scotland Ltd. Analyte testing method and system
USD611372S1 (en) 2008-09-19 2010-03-09 Lifescan Scotland Limited Analyte test meter
US20100331645A1 (en) * 2009-06-25 2010-12-30 Roche Diagnostics Operations, Inc. Methods and systems for wireless communication between a blood glucose meter and a portable communication device
US20100331651A1 (en) * 2009-06-29 2010-12-30 Roche Diagnostics Operations, Inc. Blood glucose management and interface systems and methods
US9218453B2 (en) * 2009-06-29 2015-12-22 Roche Diabetes Care, Inc. Blood glucose management and interface systems and methods
US20100331652A1 (en) * 2009-06-29 2010-12-30 Roche Diagnostics Operations, Inc. Modular diabetes management systems
US9033877B2 (en) 2011-02-23 2015-05-19 Roche Diabetes Care, Inc. Device and method for determining blood glucose characteristics
US9451907B2 (en) 2011-06-22 2016-09-27 Arkray, Inc. Measuring apparatus
WO2018132315A1 (en) * 2017-01-11 2018-07-19 Abbott Diabetes Care Inc. Systems, devices, and methods for experiential medication dosage calculations

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