WO2009058792A3 - Modified sensor calibration algorithm - Google Patents

Modified sensor calibration algorithm Download PDF

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Publication number
WO2009058792A3
WO2009058792A3 PCT/US2008/081481 US2008081481W WO2009058792A3 WO 2009058792 A3 WO2009058792 A3 WO 2009058792A3 US 2008081481 W US2008081481 W US 2008081481W WO 2009058792 A3 WO2009058792 A3 WO 2009058792A3
Authority
WO
WIPO (PCT)
Prior art keywords
monitor data
glucose monitor
glucose
linear regression
calibration characteristics
Prior art date
Application number
PCT/US2008/081481
Other languages
French (fr)
Other versions
WO2009058792A2 (en
Inventor
John C. Mueller, Jr.
Desmond Barry Keenan
Lu Wang
John J. Mastrototaro
Original Assignee
Medtronic Minimed, Inc.
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Medtronic Minimed, Inc. filed Critical Medtronic Minimed, Inc.
Priority to EP08844337.9A priority Critical patent/EP2207473B1/en
Priority to EP14200559.4A priority patent/EP2896357B1/en
Priority to DK08844337.9T priority patent/DK2207473T3/en
Priority to CA2702428A priority patent/CA2702428C/en
Publication of WO2009058792A2 publication Critical patent/WO2009058792A2/en
Publication of WO2009058792A3 publication Critical patent/WO2009058792A3/en

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Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/14532—Measuring 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
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/1486—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using enzyme electrodes, e.g. with immobilised oxidase
    • A61B5/14865—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using enzyme electrodes, e.g. with immobilised oxidase invasive, e.g. introduced into the body by a catheter or needle or using implanted sensors
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2560/00—Constructional details of operational features of apparatus; Accessories for medical measuring apparatus
    • A61B2560/02—Operational features
    • A61B2560/0223—Operational features of calibration, e.g. protocols for calibrating sensors

Abstract

A method of calibrating glucose monitor data includes collecting the glucose monitor data over a period of time at predetermined intervals, obtaining reference glucose values from a reference source that temporally correspond with the glucose monitor data obtained at the predetermined intervals, calculating the calibration characteristics using the reference glucose values and corresponding glucose monitor data to regress the obtained glucose monitor data, and calibrating the obtained glucose monitor data using the calibration characteristics. In additional embodiments, calculation of the calibration characteristics includes linear regression and, in particular embodiments, least squares linear regression. Alternatively, calculation of the calibration characteristics includes non-linear regression. Data integrity may be verified and the data may be filtered. Further, calibration techniques may be modified during a fast rate of change in the patient's blood glucose level to increase sensor accuracy.
PCT/US2008/081481 2007-10-31 2008-10-28 Modified sensor calibration algorithm WO2009058792A2 (en)

Priority Applications (4)

Application Number Priority Date Filing Date Title
EP08844337.9A EP2207473B1 (en) 2007-10-31 2008-10-28 Modified sensor calibration algorithm
EP14200559.4A EP2896357B1 (en) 2007-10-31 2008-10-28 Modified sensor calibration algorithm
DK08844337.9T DK2207473T3 (en) 2007-10-31 2008-10-28 modified sensorkalibreringsalgoritme
CA2702428A CA2702428C (en) 2007-10-31 2008-10-28 Modified sensor calibration algorithm

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US11/931,866 US7783442B2 (en) 2007-10-31 2007-10-31 System and methods for calibrating physiological characteristic sensors
US11/931,866 2007-10-31

Publications (2)

Publication Number Publication Date
WO2009058792A2 WO2009058792A2 (en) 2009-05-07
WO2009058792A3 true WO2009058792A3 (en) 2010-01-14

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2008/081481 WO2009058792A2 (en) 2007-10-31 2008-10-28 Modified sensor calibration algorithm

Country Status (5)

Country Link
US (2) US7783442B2 (en)
EP (2) EP2896357B1 (en)
CA (2) CA2782491C (en)
DK (1) DK2207473T3 (en)
WO (1) WO2009058792A2 (en)

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