US20120143032A1

US20120143032A1 - Sensor web device for measuring electromyographic signals

Info

Publication number: US20120143032A1
Application number: US13/289,793
Authority: US
Inventors: Charles Dean Cyphery; Marco N. Vitiello
Original assignee: Individual
Current assignee: Med Tek LLC
Priority date: 2010-11-05
Filing date: 2011-11-04
Publication date: 2012-06-07
Also published as: US20120143064A1; WO2012061747A2; WO2012061747A3; US8752427B2; US20120137771A1

Abstract

A sensor web device is provided for measuring EMG (electromyographic) signals. The device has a base sheet and a plurality of EMG sensors disposed on the base sheet. The plurality of EMG sensors are arranged so that a desired EMG signal of a muscle in a human body is obtained by a corresponding one of the plurality of EMG sensors.

Description

This application claims priority of U.S. provisional application No. 61/344,893 filed on Nov. 5, 2010, the entire contents of which are incorporated by reference herein.

TECHNICAL FIELD

The present disclosure relates to a sensor device for measuring multiple signals by the use of multiple interconnected surface electromyographic sensors arranged in a pre-defined pattern at various locations on a human body.

BACKGROUND

Sensors for monitoring muscle signals for data collection are used with dynamic muscle function monitoring and evaluating systems. The details of such a system are described in a co-pending application filed on Nov. 5, 2011 concurrently with this application, the entire contents of which are incorporated by reference herein. In this system, sensor data is directly fed into a point of detection (POD) device for conditioning, acquiring, and transmitting the sensor data. The sensors include, for example, but are not limited to, a surface EMG (sEMG) sensor, a motion detection sensor, and a functional capacity evaluator (FCE) such as a conventional FCE or the FCE disclosed herein. The POD device acquires continuous analog signals, conditions them, and then digitizes these signals These digital data are then transferred wirelessly to a computer system for processing using software.
The discovery of the presence of electromyographic (EMG) signals in the muscles of humans, and the change of these signals with muscle activity, spawned development of dedicated electronic devices and techniques for monitoring those signals for the evaluation of the muscles.
The size of a patient's muscle, range and dynamics of motion of the patient's muscle, the strength of a patient's muscles, and the electrical characteristics of the muscles provide information useful to a clinician making treatment decisions for a patient. The same information also may be useful to determine the existence, severity or cause of an injury and whether an injury is acute or chronic for purposes of determining questions of insurance or other liability.
The EMG signals given off by the muscles are relatively weak (on the order of millivolts) and it is important that the devices used to monitor and record the EMG signals do not introduce noise thereby making it extremely difficult to interpret the signals.
In the past, individual electrodes were placed at appropriate points on a patient's body and then an individual numbered wire was connected to each of the electrodes (up to 38). A previous system (e.g., U.S. patent application Ser. Nos. 10/504,031 and 11/914,385, the entire disclosure of which is incorporated herein by reference) ran cabling from the patient to the device where all signal conditioning occurred and because of the millivolt (0-5 mV) amplitude and cable lengths (˜6′) required, specialized, shielded, and heavy cabling was required. This was extremely expensive, time-consuming and prone to error.

SUMMARY

In order to overcome these issues, the present disclosure is directed to a mesh or web of sEMG sensors arranged in a manner to allow very quick and accurate placement of all electrodes.
The present application discloses a sensor web device for measuring EMG (electromyographic) signals. The device comprises a base sheet and a plurality of EMG sensors disposed on the base sheet, wherein the plurality of EMG sensors are arranged so that a desired EMG signal of a muscle of a human body is obtained by a corresponding one of the plurality of EMG sensors.
In the aforementioned device, the base sheet is made of a flexible material.
In the aforementioned device, the flexible material includes textile, fabric, or a plastic film.
In the aforementioned device, each of the plurality of EMG sensors includes an amplifier.
In the aforementioned device, each of the plurality of EMG sensors have an adhesive portion for adhering to the outside of human skin.
In the aforementioned device, the plurality of EMG sensors are detachably attached to the base sheet.
In the aforementioned device, the plurality of EMG sensors may be arranged to correspond to where muscles related to any of an ankle, carpal tunnel, hip and groin, lower extremities, front or rear lumbosacral region, cervical spine, a shoulder, or thoracic spine are located.
The system in the present disclosure is used for muscular testing by acquiring muscle contraction patterns and/or testing range-of-motion and functional capacity using surface EMG electrodes. The system can be specialized to test, for example, cervical, thoracic and lumbar spines as well as upper and lower extremities. The system can collect and display muscle function data and characteristics including tone, fatigue, as well as other activities that take place in the muscle. This system can be used in a number of arenas such as occupational and sports medicine, and rehabilitation clinics.
Additional advantages and novel features will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following and the accompanying drawings or may be learned from production or operation of the examples. The advantages of the present teachings may be realized and attained by practice or use of the methodologies, instrumentalities and combinations particularly pointed out in the appended claims.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 shows a top view of a sensor of an embodiment of the present disclosure.

FIGS. 2A and 2B show a top view of two embodiments of the connecting regions of a sensor web of the present disclosure.

FIG. 2C shows a sensor connector of the present disclosure.

FIGS. 3A-C show muscles related to an ankle and a sensor web for use in measuring electromyographic signals of muscles related to an ankle.

FIGS. 4A-E show muscles related to a carpal tunnel region and a sensor web for use in measuring electromyographic signals of muscles related to a carpal tunnel region.

FIGS. 5A-C show muscles related to a hip and groin and a sensor web for use in measuring electromyographic signals of muscles related to a hip and groin.

FIGS. 6A-C show muscles related to lower extremities and a sensor web for use in measuring electromyographic signals of muscles related to lower extremities.

FIGS. 7A-D show muscles related to front and rear lumbosacral regions and a sensor web for use in measuring electromyographic signals of muscles related to front and rear lumbosacral regions.

FIGS. 8A-C show muscles related to a cervical spine and a sensor web for use in measuring electromyographic signals of muscles related to a cervical spine.

FIGS. 9A-E show muscles related to a shoulder and a sensor web for use in measuring electromyographic signals of muscles related to a shoulder.

FIGS. 10A-B show muscles related to a thoracic spine and a sensor web for use in measuring electromyographic signals of muscles related to a thoracic spine.

DETAILED DESCRIPTION

In the following detailed description, numerous specific details are set forth by way of examples in order to provide a thorough understanding of the relevant teachings. However, it should be apparent to those skilled in the art that the present teachings may be practiced without such details. In other instances, well known methods, procedures, components, and/or materials have been described at a relatively high-level, without detail, in order to avoid unnecessarily obscuring aspects of the present teachings.
FIG. 1 shows a sensing portion of a sensor according to one embodiment of the present disclosure. The sensing portion has two sensor pads 30 for measuring EMG (electromyographic) signals of muscles. Two sensor pads 30 are used to measure the differential signal of the muscle. This allows the user to measure the voltage signals of the muscle and ascertain the health of the body part being studied.
The sensor pads 30 are attached to a base sheet 20. The sensor pads are attached by any conventional means. In certain embodiments, the sensor pads 30 are laminated to the base sheet 20.
The sensor pads 30 contain a solid core gel that is very sticky and allow each sensor pad 30 to fasten itself to a patient. It is an electrically conductive material specifically designed to transmit sEMG signals. Any conventional material may be used for the solid core gel that is sufficient to adhere to the outer surface of human skin and conduct muscle activity. In some embodiments, a silver chloride based gel is used for the solid core gel.
Around the area of the sensor pads 30, the base sheet 20 has a tab 25 that protrudes outward from the base sheet to allow a user to easily grasp the base sheet for easy removal of the sensor web from the patient.
The sensor pads 30 have wires/traces 40 that serve as signal lines connected to them in order to transmit measured voltage signals from the sensor pad 30 to a POD. The wires 40 are also attached to the base sheet 20 by any conventional means. In some embodiments, the wires/traces 40 are attached to the base sheet by a laminate in the form of a flex circuit. The wires/traces 40 are connected to the main processing unit via a connecting region 50 (see FIG. 2A). In some embodiments, 16 wires/traces 40 reside between the locating pins.
FIGS. 2A and 2B show two embodiments of connecting regions of the present disclosure. FIG. 2A shows a connecting region 50 in which wires/traces 40 terminate at an end portion of the base sheet 20 that connects externally to a main processing unit. In this embodiment, two locating pin holes 56 are set through the base sheet 20 to align the sensor web 100 properly to an external unit. The holes 56 in each sensor web are arranged such that one sensor connector 70 (as shown in FIG. 2C) may attach to each of the sensor webs in order to accurately determine which sensor web is being utilized. At a terminal end of the base sheet 20, a set of sensor ID pins 60, including one ground sensor ID pin 61, are located to mate with a sensor connector 70.
In another embodiment shown in FIG. 2B, a connecting region 150 has four locating pin holes 156 through the base sheet 120 for connecting the wires 140 to a sensor connector.
All of the sensor webs connect to the same sensor connector 70 (see FIG. 2C), but are identified to the POD by means of a sensor identification technique which uses a 5 bit binary pattern from the sensor ID pins 60. On each connector 70, there are 6 traces 74 where a signal (likely 5V) is injected on and then the 5 non-ground pins 60 are connected together and read by the POD indicating which sensor web is currently connected. Of the six lines, ground 61, 161 is dedicated as a transistor-transistor logic (TTL) level signal line from the POD which is then connected to one or some of the other 5 lines in a bit pattern that uniquely identifies the web. These 5 return lines 60, 160 enable 32 possible combinations of identifiable devices. One ground pin 61/161 and five or more signal ID lines therefore, allow for identification of 32 or more unique sensor webs.
As shown in FIG. 2C, one embodiment of a sensor connector 70 is a clamshell design that is to clamp down onto the connecting region 50 of the sensor web, mating the locating pin holes 56 to locating pins 72. The locating pins 72 slip down over for accurate positioning. The locating pins 72 are approximately the same size as the locating pin holes 56, 156 for accurate clamping of the sensor connector 70 to the connecting region 50 of the sensor web. The sensor connector 70 is made of a lightweight plastic and has a self locking and spring loaded clamping mechanism to clamp down on the connecting region 50 of the sensor web.
The sensor connector 70 contains the instrumentation amplifier/first gain stage. This allows transmission of ‘normal’ voltage signals back to the POD rather than the ultralow (0-5 mV) sEMG signals. There are no electronics (other than signal traces) in or on the sensor webs as any components added there will greatly increase the manufacturing complexity and cost of each web, which are intended to be disposable.
The sensor connector 70 initial amplification stage includes an instrumentation amplifier which takes the muscle's differential pair, removes the common mode and outputs an amplified single-ended signal. This is then passed through a cable to the POD where the single-ended signals are further amplified and filtered through several Op-Amp stages. Once fully conditioned, all signals are then multiplexed and fed into an analog to digital converter (ADC).
Sensor webs are used to interface to and read surface EMG (sEMG) muscle activity. The sensor webs have pre-placed self-adhering electrodes that conform to the muscle locations dictated by each protocol.
In the embodiment shown in FIG. 3C, a custom ankle sensor web 300 is used to evaluate muscle activity of an ankle. As is shown in FIGS. 3A and 3B, the custom ankle sensor web 300 evaluates the following muscles: (1) right tibialis anterior, (2) right gastrocnemius, (3) right lateral ankle, and (4) right medial ankle of a right ankle. The custom ankle sensor web 300 also evaluates the (5) left tibialis anterior, (6) left gastrocnemius, (7) left lateral ankle, and (8) left medial ankle of a left ankle.
The custom ankle sensor web 300 attaches sensor pads 30 to half of the 8 muscles listed in FIGS. 3A and 3B, as one custom ankle sensor web 300 is used for each ankle.
As shown in FIG. 3C, the base sheet 320 is specifically formed such that the sensor pads 30 will be in close proximity to the muscle groups of the ankle when the custom ankle sensor web 300 is placed around the ankle.
The sensor pads 30 are connected to the connecting area 350 via the wires 340. Two wires 340 each are used to connect each sensor pad 30. The connecting area 350 has 6 sensor ID pins 360, one of which is the ground ID pin 361, for connecting to a sensor connector 70 (see FIG. 2C). Locating pin holes 356 are used to help align the sensor connector accurately to the custom ankle sensor web 300 via the connecting region 350.
In the embodiment shown in FIG. 4E, a carpal tunnel sensor web 400 is used to evaluate muscle activity of a carpal tunnel area of a human body. As is shown in FIGS. 4A-4D, the carpal tunnel sensor web 400, in conjunction with the cervical area web 800 (see FIG. 8C), evaluates the following muscles: (1) right sternocleidomastoid, (2) right scalene, (3) right paracervical, (4) right upper trapezius, (5) right deltoid, (6) right biceps, (7) right triceps, (8) right wrist flexor, (9) right wrist extensor, (10) right thenar/palmar, (11) right medial epicondyle, and (12) right lateral epicondyle of the right carpal tunnel area.
The carpal tunnel sensor web 400 also evaluates, in conjunction with the cervical area web 800 (see FIG. 8C), the (13) left sternocleidomastoid, (14) left scalene, (15) left paracervical, (16) left upper trapezius, (17) left deltoid, (18) left biceps, (19) left triceps, (20) left wrist flexor, (21) left wrist extensor, (22) left thenar/palmar, (23) left medial epicondyle, and (24) left lateral epicondyle of the left carpal tunnel area.
The carpal tunnel sensor web 400 attaches sensor pads 30 to half of the 24 muscles listed in FIGS. 4A-4D, as one carpal tunnel sensor web 400 is used for one carpal tunnel area.
As shown in FIG. 4E, the base sheet 420 is specifically formed such that the sensor pads 30 will be in close proximity to the muscle groups of the carpal tunnel area when the carpal tunnel sensor web 400 is placed at the carpal tunnel area.
The sensor pads 30 are connected to the connecting area 450 via the wires 440. Two wires 440 each are used to connect each sensor pad 30. The connecting area 450 has 6 sensor ID pins 460, one of which is the ground ID pin 461, for connecting to a sensor connector 70. Locating pin holes 456 are used to help align the sensor connector accurately to the carpal tunnel sensor web 400 via the connecting region 450.
In the embodiment shown in FIG. 5C, a hip and groin sensor web 500 is used to evaluate muscle activity of a hip and groin. The hip and groin sensor web 500 is used to evaluate two different sets of muscles in the hip and groin area. As is shown in FIG. 5A, the hip and groin sensor web 500 evaluates the following muscles on the front side of the human body: (3) right iliopsoas, (4) right rectus abdominus, (5) right abdominal oblique, (6) right gracilis, (10) left iliopsoas, (11) left rectus abdominus, (12) left abdominal oblique, and (13) left gracilis of a front hip and groin area of a human body. As shown in FIG. 5B, the hip and groin sensor web 500 also evaluates the following muscles on the rear side of the human body: (1) right paraspinal L5-S1, (2) right gluteus maximus, (7) right hamstrings, (8) left paraspinal L5-S1, (9) left gluteus maximus, and (14) left hamstrings. Thus, the hip and groin sensor web 500 attaches sensor pads 30 to the front located muscles related to the hip and groin, and alternately to the back located muscles related to the hip and groin.
As shown in FIG. 5C, the base sheet 520 is specifically formed such that the sensor pads 30 will be in close proximity to the muscle groups of the hip and groin when the hip and groin sensor web 500 is placed either on the front part of the hip and groin area or the back part of the hip and groin area.
In FIG. 5C, the sensor pads 30 are connected to the connecting area 550 via the wires 540. Two wires 540 each are used to connect each sensor pad 30. The hip and groin sensor web 500 has two connecting areas 550, each with 6 sensor ID pins 60, one of which is the ground ID pin 561, for connecting to two sensor connectors 70 (see FIG. 2C). Locating pin holes 556 are used to help align the sensor connector 70 accurately to the hip and groin sensor web 500 via the connecting regions 550.
In the embodiment shown in FIG. 6C, a lower extremities sensor web 600 is used to evaluate muscle activity of the lower extremities of a human body. As is shown in FIGS. 6A and 6B, the lower extremities sensor web 600 evaluates the following muscles: (1) right anterior thigh, (2) right hamstrings, (3) right tibialis anterior, and (4) right gastrocnecius of a right side of a human body. The lower extremities sensor web 600 also evaluates the (5) left anterior thigh, (6) left hamstrings, (7) left tibialis anterior, and (8) left gastrocnecius of a left side of a human body.
The lower extremities sensor web 600 attaches sensor pads 30 to half of the 8 muscles listed in FIGS. 6A and 6B, as one lower extremities sensor web 600 is designed for one side of a human body in the lower extremities region.
As shown in FIG. 6C, the base sheet 620 is specifically formed such that the sensor pads 30 will be in close proximity to the muscle groups of the lower extremities when the lower extremities sensor web 600 is placed around the lower extremities.
The sensor pads 30 are connected to the connecting area 650 via the wires 640. Two wires 640 each are used to connect each sensor pad 30. The connecting area 650 has 6 sensor ID pins 660, one of which is the ground ID pin 661, for connecting to a sensor connector 70 (see FIG. 2C). Locating pin holes 656 are used to help align the sensor connector accurately to the lower extremities sensor web 600 via the connecting region 650.
FIGS. 7C-D show two embodiments for monitoring the front and rear lumbosacral regions. In the embodiment shown in FIGS. 7A and C, a front lumbosacral sensor web 700 is used to evaluate muscle activity of the front lumbosacral region of a human body. As is shown in FIG. 7A, the front lumbosacral sensor web 700 evaluates the following muscles on a front lumbosacral area of a human body: (5) right rectus abdominis, (6) right abdominal oblique, (12) left rectus abdominis, and (13) left abdominal oblique. The front lumbosacral sensor web 700 attaches sensor pads 30 to the front located muscles related to the front lumbosacral area.
As shown in FIG. 7C, the base sheet 720 is specifically formed such that the sensor pads 30 will be in close proximity to the muscle groups of the front lumbosacral area when the front lumbosacral sensor web 700 is placed on the front lumbosacral area.
The sensor pads 30 are connected to the connecting area 750 via the wires 740. Two wires 740 each are used to connect each sensor pad 30. The connecting area 750 has 6 sensor ID pins 760, one of which is the ground ID pin 761, for connecting to a sensor connector 70 (see FIG. 2C). Locating pin holes 756 are used to help align the sensor connector accurately to the front lumbosacral sensor web 700 via the connecting region 750.
In the embodiment shown in FIGS. 7B and D, a rear lumbosacral sensor web 700 a is used to evaluate muscle activity of the rear lumbosacral region. As is shown in FIG. 7B, the rear lumbosacral sensor web 700 a evaluates the following muscles on the rear lumbrosacral area of the human body: (1) right paraspinal L1-L3, (2) right paraspinal L3-S1, (3) right quadratus lumborum, (4) right gluteus maximus, (7) right hamstrings, (8) left paraspinal L1-L3, (9) left paraspinal L3-S1, (10) left quadratus lumborum, (11) left gluteus maximus, and (14) left hamstrings. The rear lumbosacral sensor web 700 a attaches sensor pads 30 to the rear located muscles related to the rear lumbosacral area.
As shown in FIG. 7D, the base sheet 720 a is specifically formed such that the sensor pads 30 will be in close proximity to the muscle groups of the rear lumbosacral area when the rear lumbosacral sensor web 700 a is placed on the rear lumbosacral area.
The sensor pads 30 are connected to the connecting area 750 a via the wires 740 a. Two wires 740 a each are used to connect each sensor pad 30. The rear lumbosacral sensor web 700 a has two connecting areas 750 a, each with 6 sensor ID pins 760 a, one of which is the ground ID pin 761 a, for connecting to two sensor connectors 70 (see FIG. 2C). Locating pin holes 756 a are used to help align the sensor connector 70 accurately to the rear lumbosacral sensor web 700 a via the connecting regions 750 a.
In the embodiment shown in FIG. 8C, a cervical sensor web 800 is used to evaluate muscle activity of the cervical spine area of a human body. As is shown in FIGS. 8A and 8B, the cervical sensor web 800 evaluates the following muscles: (1) right sternocleidomastoid, (2) right scalene, (3) right paracervical, and (4) right upper trapezius of the front part of the cervical area, and (5) left sternocleidomastoid, (6) left scalene, (7) left paracervical, and (8) left upper trapezius of the rear part of the cervical spine area.
The cervical sensor web 800 attaches sensor pads 30 to the eight muscles listed in FIGS. 8A and 8B, as one cervical sensor web 800 is designed to cover the entire cervical spine area.
As shown in FIG. 8C, the base sheet 820 is specifically formed such that the sensor pads 30 will be in close proximity to the muscle groups of the cervical spine area when the cervical sensor web 800 is placed around the cervical spine area.
In FIG. 8C, the sensor pads 30 are connected to the connecting area 850 via the wires 840. Two wires 840 each are used to connect each sensor pad 30. The connecting area 850 has 6 sensor ID pins (not shown), one of which is the ground ID pin (not shown), for connecting to a sensor connector 70. Locating pin holes (not shown) are used to help align the sensor connector accurately to the cervical sensor web 800 via the connecting region 850 (see FIG. 2C).
In the embodiment shown in FIG. 9E, a shoulder sensor web 900 is used to evaluate muscle activity of a shoulder. As is shown in FIGS. 9A-9D the shoulder sensor web 900 in conjunction with the cervical web 800 evaluates the following muscles: (1) right scalene, (2) right paracervical, (3) right upper trapezius, (4) right pectoralis, (5) right supraspinatus, (6) right teres major, (7) right latissimus dorsi, (8) right deltoid, (9) right biceps, (10) right medial epicondyle, and (11) right lateral epicondyle of a right shoulder. The shoulder sensor web 900 also evaluates the following muscles of the left shoulder: (12) left scalene, (13) left paracervical, (14) left upper trapezius, (15) left pectoralis, (16) left supraspinatus, (17) left teres major, (18) left latissimus dorsi, (19) left deltoid, (20) left biceps, (21) left medial epicondyle, and (22) left lateral epicondyle.
The shoulder sensor web 900 attaches sensor pads 30 to half of the 22 muscles listed in FIGS. 9A-D, as one shoulder sensor web 900 is designed for one shoulder each.
As shown in FIG. 9E, the base sheet 920 is specifically formed such that the sensor pads 30 will be in close proximity to the muscle groups of the shoulder when the shoulder sensor web 900 is placed around the shoulder.
The sensor pads 30 are connected to the connecting area 950 via the wires 940. Two wires 940 each are used to connect each sensor pad 30. The connecting area 950 has 6 sensor ID pins 960, one of which is the ground ID pin 961, for connecting to a sensor connector 70 (see FIG. 2C). Locating pin holes 956 are used to help align the sensor connector accurately to the shoulder sensor web 900 via the connecting region 950.
In the embodiment shown in FIG. 10B, a thoracic area sensor web 1000 is used to evaluate muscle activity of the thoracic spine area. As is shown in FIG. 10A, the thoracic area sensor web 1000 evaluates the following muscles: (1) right middle trapezius, (2) right lower trapezius, (3) right paraspinal T5-T8, (4) right paraspinal T8-T12, (5) right latissimus dorsi, and (6) right serratus posterior of the right part of the thoracic area, and (7) left middle trapezius, (8) left lower trapezius, (9) left paraspinal T5-T8, and (10) left paraspinal T8-T12, (11) left latissimus dorsi, (12) right serratus posterior of the left part of the thoracic spine area.
The thoracic area sensor web 1000 attaches sensor pads 30 to the 12 muscles listed in FIG. 10A, as thoracic spine area sensor web 1000 is designed to evaluate the thoracic spine area.
As shown in FIG. 10C, the base sheet 1020 is specifically formed such that the sensor pads 30 will be in close proximity to the muscle groups of the thoracic area when the thoracic area sensor web 1000 is placed around the thoracic area.
The sensor pads 30 are connected to the connecting area 1050 via the wires 1040. Two wires 1040 each are used to connect each sensor pad 30. The connecting area 1050 has 6 sensor ID pins 1060, one of which is the ground ID pin 1061, for connecting to a sensor connector 70. Locating pin holes 1056 are used to help align the sensor connector accurately to the thoracic area sensor web 1000 via the connecting region 1050 (see FIG. 2C).
As discussed above, there is a dedicated sensor web for each muscle group (i.e. cervical, ankle, etc.), but there are many cases where certain sensor webs are reused. For example, the cervical web is used by itself to evaluate cervical muscle groups, but the same muscles (and sensor web) may also be used in the carpal tunnel and shoulder muscle groups. In addition, more than one sensor web may be utilized to evaluate a muscle group.
The system in the present disclosure is used for muscular testing by acquiring muscle contraction patterns and/or testing range-of-motion and functional capacity using surface EMG electrodes. The system can be specialized to test, for example, cervical, thoracic and lumbar spines as well as upper and lower extremities. The system can collect and display muscle function data and characteristics including tone, fatigue, as well as other activities that take place in the muscle. This system can be used in a number of arenas such as occupational and sports medicine, and rehabilitation clinics.
Although certain specific examples have been disclosed, it is noted that the present teachings may be embodied in other forms without departing from the spirit or essential characteristics thereof. The present examples described above are considered in all respects as illustrative and not restrictive. The patent scope is indicated by the appended claims, and all changes that come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.
Unless otherwise stated, all measurements, values, ratings, positions, magnitudes, sizes, and other specifications that are set forth in this specification, including in the claims that follow, are approximate, not exact. They are intended to have a reasonable range that is consistent with the functions to which they relate and with what is customary in the art to which they pertain.
The scope of protection is limited solely by the claims that now follow. That scope is intended and should be interpreted to be as broad as is consistent with the ordinary meaning of the language that is used in the claims when interpreted in light of this specification and the prosecution history that follows and to encompass all structural and functional equivalents. Notwithstanding, none of the claims are intended to embrace subject matter that fails to satisfy the requirement of Sections 101, 102, or 103 of the Patent Act, nor should they be interpreted in such a way. Any unintended embracement of such subject matter is hereby disclaimed.
Except as stated immediately above, nothing that has been stated or illustrated is intended or should be interpreted to cause a dedication of any component, step, feature, object, benefit, advantage, or equivalent to the public, regardless of whether it is or is not recited in the claims.
It will be understood that the terms and expressions used herein have the ordinary meaning as is accorded to such terms and expressions with respect to their corresponding respective areas of inquiry and study except where specific meanings have otherwise been set forth herein. Relational terms such as first and second and the like may be used solely to distinguish one entity or action from another without necessarily requiring or implying any actual such relationship or order between such entities or actions. The terms “comprises,” “comprising,” or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. An element proceeded by “a” or “an” does not, without further constraints, preclude the existence of additional identical elements in the process, method, article, or apparatus that comprises the element.
The Abstract of the Disclosure is provided to allow the reader to quickly ascertain the nature of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims. In addition, in the foregoing Detailed Description, it can be seen that various features are grouped together in various embodiments for the purpose of streamlining the disclosure. This method of disclosure is not to be interpreted as reflecting an intention that the claimed embodiments require more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive subject matter lies in less than all features of a single disclosed embodiment. Thus the following claims are hereby incorporated into the Detailed Description, with each claim standing on its own as a separately claimed subject matter.

Claims

1. A sensor web device for measuring EMG (electromyographic) signals, comprising:

a base sheet; and

a plurality of EMG sensors disposed on the base sheet, wherein

the plurality of EMG sensors in the base sheet are arranged so that a desired EMG signal of a muscle in a human body is obtained by a corresponding one of the plurality of EMG sensors.

2. The sensor web of claim 1, wherein the base sheet is made of a flexible material.

3. The sensor web of claim 2, wherein the flexible material include a textile, a fabric, or a plastic film.

4. The sensor web of claim 1, wherein each of the plurality of EMG sensors includes an amplifier.

5. The sensor web of claim 1, wherein each of the plurality of EMG sensors have an adhesive portion for removably adhering to the outside surface of human skin.

6. The sensor web of claim 1, wherein locations of the plurality of EMG sensors correspond to where muscles related to a thoracic area are located.

7. The sensor web of claim 1, wherein locations of the plurality of EMG sensors correspond to where muscles related to an ankle are located.

8. The sensor web of claim 1, wherein locations of the plurality of EMG sensors correspond to where muscles related to a carpal tunnel area are located.

9. The sensor web of claim 1, wherein locations of the plurality of EMG sensors correspond to where muscles related to a hip and groin are located.

10. The sensor web of claim 1, wherein locations of the plurality of EMG sensors correspond to where muscles related to lower extremities are located.

11. The sensor web of claim 1, wherein locations of the plurality of EMG sensors correspond to where muscles related to a lumbosacral front area are located.

12. The sensor web of claim 1, wherein locations of the plurality of EMG sensors correspond to where muscles related to a lumbosacral rear area are located.

13. The sensor web of claim 1, wherein locations of the plurality of EMG sensors correspond to where muscles related to a cervical area are located.

14. The sensor web of claim 1, wherein locations of the plurality of EMG sensors correspond to where muscles related to a shoulder are located.