WO2019077625A1 - A point-of-care system for detection of the physical stress at different parts of body - Google Patents

A point-of-care system for detection of the physical stress at different parts of body Download PDF

Info

Publication number
WO2019077625A1
WO2019077625A1 PCT/IN2018/050662 IN2018050662W WO2019077625A1 WO 2019077625 A1 WO2019077625 A1 WO 2019077625A1 IN 2018050662 W IN2018050662 W IN 2018050662W WO 2019077625 A1 WO2019077625 A1 WO 2019077625A1
Authority
WO
WIPO (PCT)
Prior art keywords
physical stress
sensor
detection
care system
point
Prior art date
Application number
PCT/IN2018/050662
Other languages
French (fr)
Inventor
Mitradip BHATTACHARJEE
Sagnik MIDDYA
Dipankar BANDYOPADHYAY
Original Assignee
Indian Institute Of Technology, Guwahati
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 Indian Institute Of Technology, Guwahati filed Critical Indian Institute Of Technology, Guwahati
Priority to US16/757,048 priority Critical patent/US20200323461A1/en
Priority to EP18867837.9A priority patent/EP3697289A4/en
Publication of WO2019077625A1 publication Critical patent/WO2019077625A1/en

Links

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/25Bioelectric electrodes therefor
    • A61B5/279Bioelectric electrodes therefor specially adapted for particular uses
    • A61B5/296Bioelectric electrodes therefor specially adapted for particular uses for electromyography [EMG]
    • 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
    • A61B5/0004Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/16Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
    • A61B5/165Evaluating the state of mind, e.g. depression, anxiety
    • 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
    • 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
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2560/00Constructional details of operational features of apparatus; Accessories for medical measuring apparatus
    • A61B2560/04Constructional details of apparatus
    • A61B2560/0431Portable apparatus, e.g. comprising a handle or case
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2562/00Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
    • A61B2562/02Details of sensors specially adapted for in-vivo measurements
    • A61B2562/0209Special features of electrodes classified in A61B5/24, A61B5/25, A61B5/283, A61B5/291, A61B5/296, A61B5/053
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2562/00Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
    • A61B2562/02Details of sensors specially adapted for in-vivo measurements
    • A61B2562/028Microscale sensors, e.g. electromechanical sensors [MEMS]
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2562/00Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
    • A61B2562/02Details of sensors specially adapted for in-vivo measurements
    • A61B2562/0285Nanoscale sensors
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2562/00Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
    • A61B2562/04Arrangements of multiple sensors of the same type
    • A61B2562/046Arrangements of multiple sensors of the same type in a matrix array
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2562/00Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
    • A61B2562/16Details of sensor housings or probes; Details of structural supports for sensors
    • A61B2562/164Details of sensor housings or probes; Details of structural supports for sensors the sensor is mounted in or on a conformable substrate or carrier
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2562/00Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
    • A61B2562/22Arrangements of medical sensors with cables or leads; Connectors or couplings specifically adapted for medical sensors
    • A61B2562/221Arrangements of sensors with cables or leads, e.g. cable harnesses
    • A61B2562/222Electrical cables or leads therefor, e.g. coaxial cables or ribbon cables

Definitions

  • TITLE A POINT-OF-CARE SYSTEM FOR DETECTION OF THE PHYSICAL STRESS AT DIFFERENT PARTS OF BODY
  • the present invention relates to monitoring stress levels of different body parts of a human subject. More specifically, the present invention is directed to develop a system for point-of-care detection of the stress levels of the different body parts such as finger-tip, tip-toe, wrist, or tongue, among others.
  • the present system is particularly useful for the early detection of many diseases or disorders related to heart, nerves and muscles, which can be correlated with the symptom of increase in the stress at different body parts.
  • EMG electromyography
  • ECG electrocardiography
  • EEG electroencephalography
  • the EMG techniq ue has been sta rted with the knowledge of the generation of electrical signal in the human body muscles [Shair, E. F., et al ., BioMed Research Internationa l, 2017. 2017 : p. 3937254] .
  • the techniq ue has been routinely employed in diagnosing a range of diseases a nd disorders in heart, nerve, and muscles [Brown, R., et al ., Annals of Clinical and Translational Neurology, 2014. 1 ( 11) : p. 867-883] .
  • EMG is also useful in diagnosing the muscle disorders such as stiffness or stra in [Vasseljen, O. Jr., Johansen, B.
  • EMG sca nner which is considered as a trigger point [ref. US5722420A, US20120065538A1 ] .
  • the trigger point is generally identified by analyzing a sponta neous EMG activity in a muscle location where the nearby muscles are EMG 'quite' [ref. US20120065538A1 ] .
  • the treatment involves a need le electrode, which is generally inserted to locate the site of muscle spasm and pain associated with it and the treatment of the movement disorder, recurrent muscular pain and muscle degeneration or degradation issues.
  • a need le electrode which is generally inserted to locate the site of muscle spasm and pain associated with it and the treatment of the movement disorder, recurrent muscular pain and muscle degeneration or degradation issues.
  • EMG and EEG have also been employed in detecting the heart-wave and brain activities of a human in order to diagnose heart and brain diseases [ref. US8380296B2, US20170020434A1].
  • the currently available EMG and ECG devices are comprised of multiple electrodes to track the potentials of the muscles at different body parts, [ref. US20120065538 Al, US20160151626, US8170656 B2, US6915148, US20140240223 Al, US20150373019 Al, WO2015138734 Al, US6970737 Bl]
  • the electrodes in those devices are generally coupled to an external computer integrated with the signal processing circuits for accurate detection of the symptoms.
  • the basic object of the present invention is to develop an economic, user-friendly and portable system for detecting/monitoring stress levels of different body parts of the human subject.
  • Another object of the present is to develop a portable point-of-care system for detecting/monitoring stress levels of different body parts of the human subject which would be adapted to facilitate early detection of many diseases or disorders related to heart, nerves and muscles, which can be correlated with the symptom of increase in the stress at the different body parts.
  • Another object of the present invention is to develop a portable point-of-care system for detecting/monitoring stress levels of different body parts of the human subject which would be adapted to measure body-electric- potential.
  • Another object of the present invention is to develop a portable point-of-care system for detecting/monitoring stress levels of different body parts of the human subject which would be adapted to communicate/display the detected/monitored stress level results to one or more remote recipient(s).
  • Another object of the present invention is to develop a portable point-of-care system for detecting/monitoring stress levels of different body parts of the human subject which would be capable of making a wireless connection to a mobile and proficient in data transfer and display the detected/monitored stress level results on the mobile through mobile phone based application.
  • an electrically conductive sensor operative on body parts comprises non-invasive flexible or soft polymer substrate with patterned planer surface involving an array of micro/nano pillars coated with conductive material defining patterned electrodes adapted to sense muscle activities.
  • a point-of-care system for detection of the physical stress of body parts comprising electrically conductive sensor comprises non-invasive flexible or soft polymer substrate with patterned planer surface with conductive material defining patterned electrodes adapted to sense muscle activity and generate sensor output based on body-potential generated by said muscle activity of said body part; processing unit having operative connection with the said electrically conductive sensor to receive the sensor output for processing and detection of the physical stress at the body part based on the measured body-potential.
  • present point-of-care system for detection of the physical stress of body parts comprises sensor arrangement accommodated in a housing for externally attaching with the body part of a human subject and enabling disposition of said electrically conductive sensors of said sensor arrangement in direct non-invasive contact with skin of the body part for accurate measurement of body-potential generated by the muscle activity of said body part and generate equivalent sensor output; said processing unit having operative connection with said sensor arrangement to receive the sensor output for processing and detection of the physical stress at the body part based on the measured body-potential.
  • the sensor arrangement comprises said electrically conductive sensor with flexible patterned electrically conducting surface to measure the body-potential upon contact with skin of the body part; a connecting wire and plug to establish operative connection between the sensor and the processing unit.
  • the electrically conductive sensor comprises flexible or soft polymer substrate with pre-patterned planer surface involving array of micro/nano pillars coated with conductive material defining the patterned electrodes and having groves therebetween.
  • the planer surface of the flexible substrate adjusts according to shape of the muscle beneath the skin and the grooves in the patterned electrodes facilitates the skin to accommodate skin all around the patterned electrodes resulting an increase in the effective contact area between the skin and the electrodes.
  • the senor detects the body- potential through the conductive coating of the patterned electrodes upon contact with the muscle of the human body part and generates voltage signal as the sensor output.
  • the senor includes contact pad for transferring the sensor output to the processing unit through the connecting wire and plug.
  • the processing unit includes a socket for connecting the plug ; open source development board including amplifier to amplify the sensor output which corresponds to the detected body-potential in terms of the voltage signal; computing processor preferably iOS UNO to process the amplified voltage signal and thereby detect the physical stress at the body part; a wireless communication module preferably Bluetooth module to transmit computing processor's output to a remote recipient including cooperative mobile application embodied in user's mobile phone for displaying the output; and electrical passive components including resistors with fixed resistance value to calibrate according to the sensor output.
  • the present point-of-care system for detection of the physical stress at different parts of body comprises battery unit integrated with the housing and operatively connected with the sensor arrangement and the processing unit to supply power to the sensor arrangement and the processing unit.
  • the polymer substrate is made of PDMS and the conducting material to coat the micro/nano pillars includes Aluminum or RGO.
  • the housing for externally attaching with the body part is adapted to attach with finger-tip, tip-toe, wrist, or tongue for detecting the physical stress therein.
  • the computing processor process the voltage signal correlates it with the physical stress by receiving the voltage signal from the sensor arrangement corresponding to the body-potential comes out of a particular muscle of the body part; comparing the voltage signal's amplitude and frequency with respect to a reference value to detect physical stress of the body part whereby higher amplitude and frequency of the signal corresponds to a stressed condition of the muscle compared to relaxed situation; converting the voltage to a digital signal and transfers it with the detected physical stress wirelessly to the remote recipient including cooperative mobile application embodied in user's mobile phone for real-time display of the detected physical stress and the digital signal and/or storing data associated with the same for future analysis.
  • the computing processor diagnosis heart, nerve and muscles based on the detected physical stress and transfers the diagnosis result to the remote recipient including cooperative mobile application embodied in user's mobile phone for real-time display and/or storing for future use.
  • Figure l(a)-(d) shows isometric view of preferred embodiments of the point-of- care system for detection of the physical stress at different parts of body in accordance with the present invention .
  • Figure 2 shows (a) sensor arrangement associated with the present point-of-care system for detection of the physical stress and (b) associated processing unit in accordance with the present invention .
  • Figure 3 shows sensor pattern associated with the sensor arrangement of present point-of-care system for detection of the physical stress in accordance with the present invention.
  • Figure 4 shows processing unit circuit associated with the present point-of-care system for detection of the physical stress in accordance with the present invention .
  • Figure 5 shows comparison between sensor responses of metal-electrode (ME) and patterned-electrode (PE) sensors.
  • Figure 6(A)-(D) shows responses of the PE sensor for different body-parts in accordance with an embodiment of the present invention .
  • Figure 7 shows the responses of the PE sensor for working cond itions while the sensor is attached to wrist in accordance with an embodiment of the present invention .
  • Figure 8 shows the responses of the PE sensor for index-finger after working-out for some time in accordance with an embodiment of the present invention.
  • Figure 9 shows the responses of the PE sensor for index-finger at relaxed and stressed condition in accordance with an embodiment of the present invention .
  • the present invention addresses the issues of diagnosing heart, nerve and muscles by detecting the physical stress at different parts of a human body through monitoring the body potential. It well known that the body- potential generated by muscle activity of the different body part can be a possible indicator of heart, nerve and muscle health.
  • the disclosed point-of-care system for detection of the physical stress at different parts of the human body of the present invention basically includes a sensor arrangement, a processing unit, and a power supply.
  • the sensor arrangement consists of a flexible sensor with a micro/nano patterned polymeric surface coated with conducting material.
  • the sensor is connected to the processing unit, which receives signal from the sensor and sends to a mobile application after necessary processing.
  • the power supply unit provides the required power to work properly.
  • the present system includes a sensor arrangement ( 103) accommodated in a housing (102) .
  • the housing (102) is specifically configured to externally attach with the body part (101) as mentioned hereinbefore enabling sensor of the sensor arrangement (103) to be disposed in direct non-invasive contact with skin of the body part ( 101) for accurate measurement of the body-potential generated by muscle activity of said different body part.
  • the sensor arrangement (103) also includes a connecting wire (104) and a plug ( 105) to establish operative connection with the processing unit.
  • the processing unit (202) comprises a socket (203) for connecting the plug ( 105) .
  • the number (204) refers to the LED indicator and the number (205) refers to the ON-OFF switch.
  • Reference is next invited from the accompanying figure 3 which shows structure of the sensor (301) of the sensor arrangement (103) for measurement of the body-potential generated by muscle activity of the different body part.
  • the sensor (301) is fabricated on a flexible or soft polymer substrate preferably PDMS.
  • the polymeric sensor substrate comprises pre- patterned planer surface with an array of micro/nano pillars coated with conductive material preferably of Al and RGO.
  • the micro/nano-patterns on the planner surface of the sensor (301) ensures large contact area with the skin of the body part and the flexibility/softness of the sensor (301) helps in adjusting the planer surface according to the shape of the muscle beneath the skin.
  • the schematic illustration in figure 3 shows how the contact area for patterned electrodes defined by the conducting material coated micro/nano pillar on the polymeric sensor substrate increases compared to a plane metal electrode.
  • the groves in the patterned electrodes help the soft skin to adjust in there accommodating the skin all around the patterned electrodes resulting in an increase in the effective contact area between the skin and the electrode.
  • the number 302 and 303 show the pattern, high and low zones, respectively, made on the surface of soft material say PDMS.
  • the sensor (301) detects the body-potential through the conductive coating of the patterned electrodes upon touching a group of muscle of the human body part preferably index finger or wrist and generates some voltage signal as sensor output.
  • the component 304 is the contact pad of the sensor output for connecting with the processing unit (202) through the connecting wire (104) and plug (105) and transferring the sensor output to the processing unit.
  • operating circuit comprises an open source development board, computing processor preferably iOS UNO, a wireless communication module preferably commercial Bluetooth module (HC- 06/05), and electrical passive components.
  • the symbols Ri and R 2 are the resistors with fixed resistance value which are calibrated according to the sensor response.
  • the sensor output i.e. the detected body-potential in terms of voltage signal is first fed to an amplifier which amplifies the received sensor output and then transmit it to computing processor (e.g. analog input pin AO of the chicken UNO) for processing the amplified voltage signal to detect the physical stress at different parts of the human body and diagnosis heart, nerve and muscles based on the detected physical stress.
  • the computing processor after receiving the voltage signal from the sensor arrangement corresponding to the body-potential comes out of a particular muscle of the body part, compares the voltage signal's amplitude and frequency with respect to a reference value to detect physical stress of the body part whereby higher amplitude and frequency of the signal corresponds to a stressed condition of the muscle compared to relaxed situation.
  • the computing processor also converts the voltage to a digital signal and transfers it with the detected physical stress wirelessly to a remote recipient including cooperative mobile application embodied in user's mobile phone for real-time display of the detected physical stress and the digital signal and/or storing data associated with the same for future analysis.
  • Figure 5-8 shows the response of the sensor at different cond itions.
  • Figure 5 shows the response of the sensor due to metal electrode (ME) a nd patterned - electrode (PE) attached at the index finger in rest cond ition .
  • the response of the PE sensor at rest for index figure (A), wrist (B), big toe (C), and tongue (D) is shown in Figure 6.
  • Fig ure 7 shows the response of the PE sensor attached to the wrist at rest cond ition (A) and while working (B-D) for different time.
  • Plot (E) and (F) of Figure 7 show the change in normalized voltage ( l w ) and frequency (f N ) of the body potential sig nal, respectively, for the cases described in images (A-D) .
  • Figure 8 shows the response of the PE sensor attached to index finger (A) at rest condition and after working out for (B) 5 min and (C) 10 min .
  • Plot (D) and (E) of Figure 8 show the cha nge in normalized voltage ( V N ) and frequency (r " w ) of the body potential signal, respectively for the cases described in images (A-C) .
  • V N refers to the normalized voltage
  • f N stands for normalized frequency of the signal from the respective organs in arbitrary units (a . u.) and t is the time.
  • the body potential signals were measured using a digital oscilloscope (DSO, Ma ke - Aplab, India, Model - D37200A) . This signal further can be transmitted to the mobile using wireless techniques.
  • DSO digital oscilloscope
  • Figure 9 shows the change in normalized voltage ( l w ) and freq uency ⁇ f N ) of the body potential signal detected by a PE sensor attached to index finger for relaxed a nd stressed body condition due to work out of 10 min .

Landscapes

  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • General Health & Medical Sciences (AREA)
  • Pathology (AREA)
  • Epidemiology (AREA)
  • Primary Health Care (AREA)
  • Animal Behavior & Ethology (AREA)
  • Biophysics (AREA)
  • Veterinary Medicine (AREA)
  • Surgery (AREA)
  • Molecular Biology (AREA)
  • Physics & Mathematics (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Business, Economics & Management (AREA)
  • General Business, Economics & Management (AREA)
  • Databases & Information Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Psychiatry (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Physiology (AREA)
  • Child & Adolescent Psychology (AREA)
  • Developmental Disabilities (AREA)
  • Educational Technology (AREA)
  • Hospice & Palliative Care (AREA)
  • Psychology (AREA)
  • Social Psychology (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)

Abstract

The present invention discloses a low-cost, user-friendly and portable point-of- care system for detection of physical stress at different parts of body of a human subject. The prototype comprises a sensor arrangement, a processing unit, and a power supply. The sensor arrangement consists of a flexible and soft substrate preferably made of electrically conducting layer coated polymer facilitating detection of electric field potential of a part of a living body of the human subject such as finger-tip, tip-toe, wrist, or tongue, once they come in contact with said sensor arrangement. The sensor arrangement generates an electrical signal, which can be correlated to the stress level of the body parts at a very high - precision. The electrical signal generated by the sensor arrangement is sent to the processing unit, which may be further transmitted wirelessly to a mobile android application for the display of the results. The present system is useful for the early detection of many diseases or disorders related to heart, nerves and muscles, which can be correlated with the symptom of increase in the stress at different body parts such as finger-tip, tip-toe, wrist, or tongue, among others.

Description

TITLE: A POINT-OF-CARE SYSTEM FOR DETECTION OF THE PHYSICAL STRESS AT DIFFERENT PARTS OF BODY
FIELD OF THE INVENTION: The present invention relates to monitoring stress levels of different body parts of a human subject. More specifically, the present invention is directed to develop a system for point-of-care detection of the stress levels of the different body parts such as finger-tip, tip-toe, wrist, or tongue, among others. The present system is particularly useful for the early detection of many diseases or disorders related to heart, nerves and muscles, which can be correlated with the symptom of increase in the stress at different body parts.
BACKGROUND OF THE INVENTION:
Monitoring health parameter in real time is one of the major challenges and necessity of the modern day human life style [Patel, S., et al., 2012. 9( 1) : p. 21]. Most of the peoples are busy with the compact schedule of their professional and personal lives. Hence they go through a stressful routine almost every day for a long duration. The health issues like heart, muscles, and nervous disorders have become common not only among the elderly peoples but also among the youths across the globe [Booth, F.W., C.K. Roberts, and M J. Laye, 2012. 2(2) : p. 1143- 1211]. Thus, monitoring stress levels of different body parts in the sick- hurry schedule of contemporary human life is important to maintain the minimum quality of health for a longer duration and keep a track of the real-time abnormalities of human body. Presently, the available techniques like electromyography (EMG), electrocardiography (ECG), or electroencephalography (EEG) are the most common methods for monitoring of the health parameters [Patel, S., et al., 2012. 9( 1) : p. 21]. However, they not only involve costly and non-portable techniques but also available in the centralized health centers. Most of these instruments need medica l experts or professiona l to operate as well as analyze the data . Thus, a user-friend ly and portable device is perhaps the need of the hour for the rea l-time monitoring of the stress-related pa rameters.
The EMG techniq ue has been sta rted with the knowledge of the generation of electrical signal in the human body muscles [Shair, E. F., et al ., BioMed Research Internationa l, 2017. 2017 : p. 3937254] . The techniq ue has been routinely employed in diagnosing a range of diseases a nd disorders in heart, nerve, and muscles [Brown, R., et al ., Annals of Clinical and Translational Neurology, 2014. 1 ( 11) : p. 867-883] . EMG is also useful in diagnosing the muscle disorders such as stiffness or stra in [Vasseljen, O. Jr., Johansen, B. M ., and Westgaa rd, R. H ., Scand J Rehabil Med . 1995. 27(4) : p. 243-252] . In this d iag nosis process, the muscle having pain are constantly monitored under EMG sca nner, which is considered as a trigger point [ref. US5722420A, US20120065538A1 ] . The trigger point is generally identified by analyzing a sponta neous EMG activity in a muscle location where the nearby muscles are EMG 'quite' [ref. US20120065538A1 ] . Once the trigger point is identified, the treatment involves a need le electrode, which is generally inserted to locate the site of muscle spasm and pain associated with it and the treatment of the movement disorder, recurrent muscular pain and muscle degeneration or degradation issues. [ Ref. US 20120065538, US 20080064977, US 20120095360, US20160151626] . Prior art studies report that to detect the body potential [Ref. US 5318039, US 5341813] a group of muscle needs to be sepa rated by the use of support or restra in device arrangement. [Ref. US 5086779] This limits the patient's movement and thus is not very feasible to be used in public places for POCT a pplications. Moreover, use of multiple electrode system coupled with a computing device makes the instrument non-portable, [ref. US20160151626, US8170656 B2, US6970737 Bl ] In some of the EMG devices, [ref. US6047202, US6259938, US7963927, US8255045] electrodes a re placed across the spine in order to detect the pattern of body electric potential [ref. US5058602] a nd the pattern of the potential help in determining the health condition of the patient. Few devices [ref. US7420472, US6047202, US9585583] also need some range of motion techniques to generate the signal corresponding to pa rticular muscle group a nd the pattern of potential comes in the form of hard copy, which is further analyzed by the experts, [ref. US5513651] However, the EMG process of diagnosis involved is costly, non-portable, complex and needs medical experts.
Apart from the EMG, the ECG and EEG have also been employed in detecting the heart-wave and brain activities of a human in order to diagnose heart and brain diseases [ref. US8380296B2, US20170020434A1]. The currently available EMG and ECG devices are comprised of multiple electrodes to track the potentials of the muscles at different body parts, [ref. US20120065538 Al, US20160151626, US8170656 B2, US6915148, US20140240223 Al, US20150373019 Al, WO2015138734 Al, US6970737 Bl] The electrodes in those devices are generally coupled to an external computer integrated with the signal processing circuits for accurate detection of the symptoms. Many prior art studies have reported different electrode and signal processing patterns in order to detect the electric field potentials near the muscles, [ref. US4832033 A, US8565888 B2, US7218963 B2, US6233484 Bl] . Apart from the conventional measurement of electric field potential of the body parts, electrodynamic sensors have also been employed to detect the small electrical signal from human body for diagnosis purpose, [ref. US7885700, US8923956, US20060279284]. However, a low cost, portable point of care system is yet to appear in the art, which will enable the early detection of stress-related abnormalities of a human body parts by measuring its electric field potential and indicating the abnormalities associated with heart, nervous, or muscle.
OBJECT OF THE INVENTION: It is thus the basic object of the present invention is to develop an economic, user-friendly and portable system for detecting/monitoring stress levels of different body parts of the human subject. Another object of the present is to develop a portable point-of-care system for detecting/monitoring stress levels of different body parts of the human subject which would be adapted to facilitate early detection of many diseases or disorders related to heart, nerves and muscles, which can be correlated with the symptom of increase in the stress at the different body parts.
Another object of the present invention the present is to develop a portable point-of-care system for detecting/monitoring stress levels of different body parts of the human subject which would be adapted to measure body-electric- potential.
Another object of the present invention the present is to develop a portable point-of-care system for detecting/monitoring stress levels of different body parts of the human subject which would be adapted to communicate/display the detected/monitored stress level results to one or more remote recipient(s).
Another object of the present invention the present is to develop a portable point-of-care system for detecting/monitoring stress levels of different body parts of the human subject which would be capable of making a wireless connection to a mobile and proficient in data transfer and display the detected/monitored stress level results on the mobile through mobile phone based application.
SUMMARY OF THE INVENTION:
Thus according to the basic aspect of the present invention, there is an electrically conductive sensor operative on body parts comprises non-invasive flexible or soft polymer substrate with patterned planer surface involving an array of micro/nano pillars coated with conductive material defining patterned electrodes adapted to sense muscle activities. According to another aspect of the present invention, there is also provided a point-of-care system for detection of the physical stress of body parts comprising electrically conductive sensor comprises non-invasive flexible or soft polymer substrate with patterned planer surface with conductive material defining patterned electrodes adapted to sense muscle activity and generate sensor output based on body-potential generated by said muscle activity of said body part; processing unit having operative connection with the said electrically conductive sensor to receive the sensor output for processing and detection of the physical stress at the body part based on the measured body-potential.
In a preferred embodiment, present point-of-care system for detection of the physical stress of body parts comprises sensor arrangement accommodated in a housing for externally attaching with the body part of a human subject and enabling disposition of said electrically conductive sensors of said sensor arrangement in direct non-invasive contact with skin of the body part for accurate measurement of body-potential generated by the muscle activity of said body part and generate equivalent sensor output; said processing unit having operative connection with said sensor arrangement to receive the sensor output for processing and detection of the physical stress at the body part based on the measured body-potential.
According to another aspect of the present point-of-care system for detection of the physical stress at different parts of body, the sensor arrangement comprises said electrically conductive sensor with flexible patterned electrically conducting surface to measure the body-potential upon contact with skin of the body part; a connecting wire and plug to establish operative connection between the sensor and the processing unit.
According to another aspect of the present point-of-care system for detection of the physical stress at different parts of body, the electrically conductive sensor comprises flexible or soft polymer substrate with pre-patterned planer surface involving array of micro/nano pillars coated with conductive material defining the patterned electrodes and having groves therebetween.
According to another aspect of the present point-of-care system for detection of the physical stress at different parts of body, the planer surface of the flexible substrate adjusts according to shape of the muscle beneath the skin and the grooves in the patterned electrodes facilitates the skin to accommodate skin all around the patterned electrodes resulting an increase in the effective contact area between the skin and the electrodes.
According to another aspect of the present point-of-care system for detection of the physical stress at different parts of body, the sensor detects the body- potential through the conductive coating of the patterned electrodes upon contact with the muscle of the human body part and generates voltage signal as the sensor output.
According to another aspect of the present point-of-care system for detection of the physical stress at different parts of body, the sensor includes contact pad for transferring the sensor output to the processing unit through the connecting wire and plug. According to another aspect of the present point-of-care system for detection of the physical stress at different parts of body, the processing unit includes a socket for connecting the plug ; open source development board including amplifier to amplify the sensor output which corresponds to the detected body-potential in terms of the voltage signal; computing processor preferably Arduino UNO to process the amplified voltage signal and thereby detect the physical stress at the body part; a wireless communication module preferably Bluetooth module to transmit computing processor's output to a remote recipient including cooperative mobile application embodied in user's mobile phone for displaying the output; and electrical passive components including resistors with fixed resistance value to calibrate according to the sensor output.
According to yet another aspect, the present point-of-care system for detection of the physical stress at different parts of body comprises battery unit integrated with the housing and operatively connected with the sensor arrangement and the processing unit to supply power to the sensor arrangement and the processing unit.
According to another aspect of the present point-of-care system for detection of the physical stress at different parts of body, the polymer substrate is made of PDMS and the conducting material to coat the micro/nano pillars includes Aluminum or RGO.
According to yet another aspect of the present point-of-care system for detection of the physical stress at different parts of body, the housing for externally attaching with the body part is adapted to attach with finger-tip, tip-toe, wrist, or tongue for detecting the physical stress therein.
According to a further aspect of the present point-of-care system for detection of the physical stress at different parts of body, the computing processor process the voltage signal correlates it with the physical stress by receiving the voltage signal from the sensor arrangement corresponding to the body-potential comes out of a particular muscle of the body part; comparing the voltage signal's amplitude and frequency with respect to a reference value to detect physical stress of the body part whereby higher amplitude and frequency of the signal corresponds to a stressed condition of the muscle compared to relaxed situation; converting the voltage to a digital signal and transfers it with the detected physical stress wirelessly to the remote recipient including cooperative mobile application embodied in user's mobile phone for real-time display of the detected physical stress and the digital signal and/or storing data associated with the same for future analysis.
According to another aspect of the present point-of-care system for detection of the physical stress at different parts of body, the computing processor diagnosis heart, nerve and muscles based on the detected physical stress and transfers the diagnosis result to the remote recipient including cooperative mobile application embodied in user's mobile phone for real-time display and/or storing for future use.
BRIEF DESCRIPTION OF THE ACCOMPANYING DRAWINGS Figure l(a)-(d) shows isometric view of preferred embodiments of the point-of- care system for detection of the physical stress at different parts of body in accordance with the present invention .
Figure 2 shows (a) sensor arrangement associated with the present point-of-care system for detection of the physical stress and (b) associated processing unit in accordance with the present invention .
Figure 3 shows sensor pattern associated with the sensor arrangement of present point-of-care system for detection of the physical stress in accordance with the present invention.
Figure 4 shows processing unit circuit associated with the present point-of-care system for detection of the physical stress in accordance with the present invention .
Figure 5 shows comparison between sensor responses of metal-electrode (ME) and patterned-electrode (PE) sensors.
Figure 6(A)-(D) shows responses of the PE sensor for different body-parts in accordance with an embodiment of the present invention .
Figure 7 shows the responses of the PE sensor for working cond itions while the sensor is attached to wrist in accordance with an embodiment of the present invention . Figure 8 shows the responses of the PE sensor for index-finger after working-out for some time in accordance with an embodiment of the present invention.
Figure 9 shows the responses of the PE sensor for index-finger at relaxed and stressed condition in accordance with an embodiment of the present invention .
DETAILED DESCRIPTION OF THE INVENTION WITH REFERENCE TO THE ACCOMPANYING DRAWINGS:
Here the detailed description of the invention will be given with reference to the accompanying drawings that represent the preferred embodiment of this invention.
As stated hereinbefore, the present invention addresses the issues of diagnosing heart, nerve and muscles by detecting the physical stress at different parts of a human body through monitoring the body potential. It well known that the body- potential generated by muscle activity of the different body part can be a possible indicator of heart, nerve and muscle health.
The disclosed point-of-care system for detection of the physical stress at different parts of the human body of the present invention basically includes a sensor arrangement, a processing unit, and a power supply. The sensor arrangement consists of a flexible sensor with a micro/nano patterned polymeric surface coated with conducting material. The sensor is connected to the processing unit, which receives signal from the sensor and sends to a mobile application after necessary processing. The power supply unit provides the required power to work properly.
Reference is now invited from the accompanying figure 1 which shows the isometric view of preferred embodiments of the point-of-care system for detection of the physical stress at (a) finger tip, (b) wrist (c) leg finger and (d) tongue. As shown in the figure 1, the present system includes a sensor arrangement ( 103) accommodated in a housing (102) . The housing (102) is specifically configured to externally attach with the body part (101) as mentioned hereinbefore enabling sensor of the sensor arrangement (103) to be disposed in direct non-invasive contact with skin of the body part ( 101) for accurate measurement of the body-potential generated by muscle activity of said different body part. The sensor arrangement (103) also includes a connecting wire (104) and a plug ( 105) to establish operative connection with the processing unit.
Reference is next invited from the accompanying figure 2 which shows (a) the sensor arrangement ( 103) accommodated inside the cabinet (201) with the connected wire (104) and plug (105) assembly and (b) the processing unit (202). The processing unit (202) comprises a socket (203) for connecting the plug ( 105) . The number (204) refers to the LED indicator and the number (205) refers to the ON-OFF switch. Reference is next invited from the accompanying figure 3 which shows structure of the sensor (301) of the sensor arrangement (103) for measurement of the body-potential generated by muscle activity of the different body part. As shown in the referred figure, the sensor (301) is fabricated on a flexible or soft polymer substrate preferably PDMS. The polymeric sensor substrate comprises pre- patterned planer surface with an array of micro/nano pillars coated with conductive material preferably of Al and RGO.
The micro/nano-patterns on the planner surface of the sensor (301) ensures large contact area with the skin of the body part and the flexibility/softness of the sensor (301) helps in adjusting the planer surface according to the shape of the muscle beneath the skin. The schematic illustration in figure 3 shows how the contact area for patterned electrodes defined by the conducting material coated micro/nano pillar on the polymeric sensor substrate increases compared to a plane metal electrode. The groves in the patterned electrodes help the soft skin to adjust in there accommodating the skin all around the patterned electrodes resulting in an increase in the effective contact area between the skin and the electrode. The number 302 and 303 show the pattern, high and low zones, respectively, made on the surface of soft material say PDMS.
The sensor (301) detects the body-potential through the conductive coating of the patterned electrodes upon touching a group of muscle of the human body part preferably index finger or wrist and generates some voltage signal as sensor output. The component 304 is the contact pad of the sensor output for connecting with the processing unit (202) through the connecting wire (104) and plug (105) and transferring the sensor output to the processing unit.
Reference is now invited from the accompanying figure 4 shows operating circuit of the processing unit. As shown in the figure, operating circuit comprises an open source development board, computing processor preferably Arduino UNO, a wireless communication module preferably commercial Bluetooth module (HC- 06/05), and electrical passive components. The symbols Ri and R2 are the resistors with fixed resistance value which are calibrated according to the sensor response. The sensor output i.e. the detected body-potential in terms of voltage signal is first fed to an amplifier which amplifies the received sensor output and then transmit it to computing processor (e.g. analog input pin AO of the Arduino UNO) for processing the amplified voltage signal to detect the physical stress at different parts of the human body and diagnosis heart, nerve and muscles based on the detected physical stress.
The computing processor after receiving the voltage signal from the sensor arrangement corresponding to the body-potential comes out of a particular muscle of the body part, compares the voltage signal's amplitude and frequency with respect to a reference value to detect physical stress of the body part whereby higher amplitude and frequency of the signal corresponds to a stressed condition of the muscle compared to relaxed situation. The computing processor also converts the voltage to a digital signal and transfers it with the detected physical stress wirelessly to a remote recipient including cooperative mobile application embodied in user's mobile phone for real-time display of the detected physical stress and the digital signal and/or storing data associated with the same for future analysis. Figure 5-8 shows the response of the sensor at different cond itions. Figure 5 shows the response of the sensor due to metal electrode (ME) a nd patterned - electrode (PE) attached at the index finger in rest cond ition . The response of the PE sensor at rest for index figure (A), wrist (B), big toe (C), and tongue (D) is shown in Figure 6. Moreover, Fig ure 7 shows the response of the PE sensor attached to the wrist at rest cond ition (A) and while working (B-D) for different time. Plot (E) and (F) of Figure 7 show the change in normalized voltage ( l w) and frequency (fN) of the body potential sig nal, respectively, for the cases described in images (A-D) . Figure 8 shows the response of the PE sensor attached to index finger (A) at rest condition and after working out for (B) 5 min and (C) 10 min . Plot (D) and (E) of Figure 8 show the cha nge in normalized voltage ( VN) and frequency (r" w) of the body potential signal, respectively for the cases described in images (A-C) . Here, VN refers to the normalized voltage and fN stands for normalized frequency of the signal from the respective organs in arbitrary units (a . u.) and t is the time. In order to a nalyze the sensor response, the body potential signals were measured using a digital oscilloscope (DSO, Ma ke - Aplab, India, Model - D37200A) . This signal further can be transmitted to the mobile using wireless techniques.
Figure 9 shows the change in normalized voltage ( l w) and freq uency {fN) of the body potential signal detected by a PE sensor attached to index finger for relaxed a nd stressed body condition due to work out of 10 min .

Claims

WE CLAIM:
1. An electrically conductive sensor operative on body parts comprises noninvasive flexible or soft polymer substrate with patterned planer surface involving array of micro/nano pillars coated with conductive material defining patterned electrodes adapted to sense muscle activities.
2. A point-of-care system for detection of the physical stress of body parts comprising electrically conductive sensor comprises non-invasive flexible or soft polymer substrate with patterned planer surface with conductive material defining patterned electrodes adapted to sense muscle activity and generate sensor output based on body-potential generated by said muscle activity of said body part; processing unit having operative connection with said electrically conductive sensor to receive the sensor output for processing and detection of the physical stress at the body part based on the measured body-potential.
3. The point-of-care system for detection of the physical stress of body parts as claimed in claim 2 comprising sensor arrangement accommodated in a housing for externally attaching with the body part of a human subject and enabling disposition of said electrically conductive sensors of said sensor arrangement in direct non-invasive contact with skin of the body part for accurate measurement of body-potential generated by the muscle activity of said body part and generate equivalent sensor output; said processing unit having operative connection with said sensor arrangement to receive the sensor output for processing and detection of the physical stress at the body part based on the measured body-potential.
4. The point-of-care system for detection of the physical stress at different parts of body as claimed in claim 2 or 3, wherein the sensor arrangement comprises said electrically conductive sensor with flexible patterned electrically conducting surface to measure the body-potential upon contact with skin of the body part; a connecting wire and plug to establish operative connection between the sensor and the processing unit.
5. The point-of-care system for detection of the physical stress at different parts of body as claimed in anyone of the claims 2 to 4, wherein the electrically conductive sensor comprises flexible or soft polymer substrate with pre-patterned planer surface involving array of micro/nano pillars coated with conductive material defining the patterned electrodes and having groves therebetween; and wherein the planer surface of the flexible substrate adjusts according to shape of the muscle beneath the skin and the grooves in the patterned electrodes facilitates the skin to accommodate skin all around the patterned electrodes resulting an increase in the effective contact area between the skin and the electrodes.
6. The point-of-care system for detection of the physical stress at different parts of body as claimed in anyone of the claims 2 to 5, wherein the sensor detects the body-potential through the conductive coating of the patterned electrodes upon contact with the muscle of the human body part and generates voltage signal as the sensor output; and wherein the sensor includes contact pad for transferring the sensor output to the processing unit through the connecting wire and plug.
7. The point-of-care system for detection of the physical stress at different parts of body as claimed in anyone of the claims 2 to 6, wherein the processing unit includes a socket for connecting the plug ; open source development board including amplifier to amplify the sensor output which corresponds to the detected body-potential in terms of the voltage signal; computing processor preferably Arduino UNO to process the amplified voltage signal and thereby detect the physical stress at the body part; a wireless communication module preferably Bluetooth module to transmit computing processor's output to a remote recipient including cooperative mobile application embodied in user's mobile phone for displaying the output; and electrical passive components including resistors with fixed resistance value to calibrate according to the sensor output.
8. The point-of-care system for detection of the physical stress at different parts of body as claimed in anyone of the claims 2 to 7 comprises battery unit integrated with the housing and operatively connected with the sensor arrangement and the processing unit to supply power to the sensor arrangement and the processing unit.
9. The point-of-care system for detection of the physical stress at different parts of body as claimed in anyone of the claims 2 to 8, wherein the polymer substrate is preferably made of PDMS and the conducting material to coat the micro/nano pillars includes Aluminum or RGO; and wherein the housing for externally attaching with the body part is adapted to attach with finger-tip, tip-toe, wrist, or tongue for detecting the physical stress therein.
10. The point-of-care system for detection of the physical stress at different parts of body as claimed in anyone of the claims 2 to 9, wherein the computing processor process the voltage signal correlates it with the physical stress by receiving the voltage signal from the sensor arrangement corresponding to the body-potential comes out of a particular muscle of the body part; comparing the voltage signal's amplitude and frequency with respect to a reference value to detect physical stress of the body part whereby higher amplitude and frequency of the signal corresponds to a stressed condition of the muscle compared to relaxed situation; converting the voltage to a digital signal and transfers it with the detected physical stress wirelessly to the remote recipient including cooperative mobile application embodied in user's mobile phone for real-time display of the detected physical stress and the digital signal and/or storing data associated with the same for future analysis.
11. The point-of-care system for detection of the physical stress at different parts of body as claimed in anyone of the claims 2 to 10, wherein the computing processor diagnosis heart, nerve and muscles based on the detected physical stress and transfers the diagnosis result to the remote recipient including cooperative mobile application embodied in user's mobile phone for real-time display and/or storing for future use.
PCT/IN2018/050662 2017-10-20 2018-10-15 A point-of-care system for detection of the physical stress at different parts of body WO2019077625A1 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
US16/757,048 US20200323461A1 (en) 2017-10-20 2018-10-15 Point-of-care system for detection of the physical stress at different parts of body
EP18867837.9A EP3697289A4 (en) 2017-10-20 2018-10-15 A point-of-care system for detection of the physical stress at different parts of body

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
IN201731037222 2017-10-20
IN201731037222 2017-10-20

Publications (1)

Publication Number Publication Date
WO2019077625A1 true WO2019077625A1 (en) 2019-04-25

Family

ID=66174065

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/IN2018/050662 WO2019077625A1 (en) 2017-10-20 2018-10-15 A point-of-care system for detection of the physical stress at different parts of body

Country Status (3)

Country Link
US (1) US20200323461A1 (en)
EP (1) EP3697289A4 (en)
WO (1) WO2019077625A1 (en)

Citations (32)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4832033A (en) 1985-04-29 1989-05-23 Bio-Medical Research Limited Electrical stimulation of muscle
US5058602A (en) 1988-09-30 1991-10-22 Brody Stanley R Paraspinal electromyography scanning
US5086779A (en) 1990-05-30 1992-02-11 Trustees Of Boston University Back analysis system
US5318039A (en) 1989-07-31 1994-06-07 Biolin Ab Method and an apparatus in electromyography
US5341813A (en) 1993-03-19 1994-08-30 Liberty Mutual Insurance Co. Prosthetics electrode array diagnostic system
US5513651A (en) 1994-08-17 1996-05-07 Cusimano; Maryrose Integrated movement analyzing system
US5722420A (en) 1995-11-28 1998-03-03 National Science Council EMG biofeedback traction modality for rehabilitation
US6047202A (en) 1997-04-15 2000-04-04 Paraspinal Diagnostic Corporation EMG electrode
US6233484B1 (en) 1996-09-16 2001-05-15 Impulse Dynamics N.V. Apparatus and method for controlling the contractility of muscles
US6259938B1 (en) 1998-05-15 2001-07-10 Respironics, Inc. Monitoring catheter and method of using same
US20020028991A1 (en) * 2000-09-01 2002-03-07 Medtronic, Inc. Skin-mounted electrodes with nano spikes
US6915148B2 (en) 1998-10-05 2005-07-05 Advanced Imaging Systems, Inc. EMG electrode apparatus and positioning system
US6970737B1 (en) 2000-09-13 2005-11-29 Ge Medical Systems Information Technologies, Inc. Portable ECG device with wireless communication interface to remotely monitor patients and method of use
US20060279284A1 (en) 2005-05-06 2006-12-14 Vaughan J T Wirelessly coupled magnetic resonance coil
US7218963B2 (en) 1996-09-16 2007-05-15 Impulse Dynamics N.V. Fencing of cardiac muscles
US20080064977A1 (en) 1999-11-24 2008-03-13 Nuvasive, Inc. Electromyography system
US7420472B2 (en) 2005-10-16 2008-09-02 Bao Tran Patient monitoring apparatus
US7885700B2 (en) 2001-12-07 2011-02-08 The University Of Sussex Electrodynamic sensors and applications thereof
US20120065538A1 (en) 2010-09-15 2012-03-15 Intronix Technologies Corporation Electromyographic (emg) device for the diagnosis and treatment of muscle injuries
US20120095360A1 (en) 2008-10-15 2012-04-19 Kevin Runney Neurophysiologic Monitoring System and Related Methods
US8170656B2 (en) 2008-06-26 2012-05-01 Microsoft Corporation Wearable electromyography-based controllers for human-computer interface
US8255045B2 (en) 2007-04-03 2012-08-28 Nuvasive, Inc. Neurophysiologic monitoring system
US8380296B2 (en) 2003-09-18 2013-02-19 Cardiac Pacemakers, Inc. Automatic activation of medical processes
US8565888B2 (en) 2004-01-30 2013-10-22 Compex Medical S.A. Automated adaptive muscle stimulation method and apparatus
US20140240223A1 (en) 2013-02-22 2014-08-28 Thalmic Labs Inc. Method and apparatus for analyzing capacitive emg and imu sensor signals for gesture control
US8923956B2 (en) 2001-12-07 2014-12-30 The University Of Sussex Electrodynamic sensors and applications thereof
US20150238140A1 (en) 2012-08-03 2015-08-27 Arizona Board Of Regents On Behalf Of Arizona State University System and method for stress sensing
WO2015138734A1 (en) 2014-03-12 2015-09-17 Zansors Llc Wireless ecg acquisition and monitoring device and system
US20150373019A1 (en) 2014-06-24 2015-12-24 Abdulmotaleb El Saddik Electrocardiogram (ecg) biometric authentication
US20160151626A1 (en) 2013-07-11 2016-06-02 Analytica Limited Stimulation and Electromyography Detection
US20170020434A1 (en) 2012-10-24 2017-01-26 Dreamscape Medical Llc Systems and methods for detecting brain-based bio-signals
US9585583B1 (en) 2014-03-04 2017-03-07 Mortara Instrument, Inc. Myogram determination from ECG signal

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6785569B2 (en) * 2001-09-07 2004-08-31 Orbital Research Dry physiological recording electrode
US20100268055A1 (en) * 2007-07-19 2010-10-21 Arizona Board of Regents, a body corporate acting for and on behalf of Arizona State University Self-Anchoring MEMS Intrafascicular Neural Electrode
US9008745B2 (en) * 2013-03-14 2015-04-14 Sano Intelligence, Inc. On-body microsensor for biomonitoring
SG11201509901VA (en) * 2013-06-06 2016-01-28 Tricord Holdings L L C Modular physiologic monitoring systems, kits, and methods
CN106797672B (en) * 2014-10-02 2020-08-04 Lg 电子株式会社 Mobile terminal and control method thereof
JP6363222B2 (en) * 2014-10-30 2018-07-25 富士フイルム株式会社 Sensor device, sensor system
DE102015109853A1 (en) * 2015-06-19 2016-12-22 Nclogics Ag Assistance and decision system and method for the evaluation of electroencephalograms
WO2018098046A2 (en) * 2016-11-25 2018-05-31 Kinaptic, LLC Haptic human machine interface and wearable electronics methods and apparatus

Patent Citations (33)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4832033A (en) 1985-04-29 1989-05-23 Bio-Medical Research Limited Electrical stimulation of muscle
US5058602A (en) 1988-09-30 1991-10-22 Brody Stanley R Paraspinal electromyography scanning
US5318039A (en) 1989-07-31 1994-06-07 Biolin Ab Method and an apparatus in electromyography
US5086779A (en) 1990-05-30 1992-02-11 Trustees Of Boston University Back analysis system
US5341813A (en) 1993-03-19 1994-08-30 Liberty Mutual Insurance Co. Prosthetics electrode array diagnostic system
US5513651A (en) 1994-08-17 1996-05-07 Cusimano; Maryrose Integrated movement analyzing system
US5722420A (en) 1995-11-28 1998-03-03 National Science Council EMG biofeedback traction modality for rehabilitation
US6233484B1 (en) 1996-09-16 2001-05-15 Impulse Dynamics N.V. Apparatus and method for controlling the contractility of muscles
US7218963B2 (en) 1996-09-16 2007-05-15 Impulse Dynamics N.V. Fencing of cardiac muscles
US6047202A (en) 1997-04-15 2000-04-04 Paraspinal Diagnostic Corporation EMG electrode
US6259938B1 (en) 1998-05-15 2001-07-10 Respironics, Inc. Monitoring catheter and method of using same
US6915148B2 (en) 1998-10-05 2005-07-05 Advanced Imaging Systems, Inc. EMG electrode apparatus and positioning system
US20080064977A1 (en) 1999-11-24 2008-03-13 Nuvasive, Inc. Electromyography system
US7963927B2 (en) 1999-11-24 2011-06-21 Nuvasive, Inc. Electromyography system
US20020028991A1 (en) * 2000-09-01 2002-03-07 Medtronic, Inc. Skin-mounted electrodes with nano spikes
US6970737B1 (en) 2000-09-13 2005-11-29 Ge Medical Systems Information Technologies, Inc. Portable ECG device with wireless communication interface to remotely monitor patients and method of use
US8923956B2 (en) 2001-12-07 2014-12-30 The University Of Sussex Electrodynamic sensors and applications thereof
US7885700B2 (en) 2001-12-07 2011-02-08 The University Of Sussex Electrodynamic sensors and applications thereof
US8380296B2 (en) 2003-09-18 2013-02-19 Cardiac Pacemakers, Inc. Automatic activation of medical processes
US8565888B2 (en) 2004-01-30 2013-10-22 Compex Medical S.A. Automated adaptive muscle stimulation method and apparatus
US20060279284A1 (en) 2005-05-06 2006-12-14 Vaughan J T Wirelessly coupled magnetic resonance coil
US7420472B2 (en) 2005-10-16 2008-09-02 Bao Tran Patient monitoring apparatus
US8255045B2 (en) 2007-04-03 2012-08-28 Nuvasive, Inc. Neurophysiologic monitoring system
US8170656B2 (en) 2008-06-26 2012-05-01 Microsoft Corporation Wearable electromyography-based controllers for human-computer interface
US20120095360A1 (en) 2008-10-15 2012-04-19 Kevin Runney Neurophysiologic Monitoring System and Related Methods
US20120065538A1 (en) 2010-09-15 2012-03-15 Intronix Technologies Corporation Electromyographic (emg) device for the diagnosis and treatment of muscle injuries
US20150238140A1 (en) 2012-08-03 2015-08-27 Arizona Board Of Regents On Behalf Of Arizona State University System and method for stress sensing
US20170020434A1 (en) 2012-10-24 2017-01-26 Dreamscape Medical Llc Systems and methods for detecting brain-based bio-signals
US20140240223A1 (en) 2013-02-22 2014-08-28 Thalmic Labs Inc. Method and apparatus for analyzing capacitive emg and imu sensor signals for gesture control
US20160151626A1 (en) 2013-07-11 2016-06-02 Analytica Limited Stimulation and Electromyography Detection
US9585583B1 (en) 2014-03-04 2017-03-07 Mortara Instrument, Inc. Myogram determination from ECG signal
WO2015138734A1 (en) 2014-03-12 2015-09-17 Zansors Llc Wireless ecg acquisition and monitoring device and system
US20150373019A1 (en) 2014-06-24 2015-12-24 Abdulmotaleb El Saddik Electrocardiogram (ecg) biometric authentication

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
BROWN, R. ET AL., ANNALS OF CLINICAL AND TRANSLATIONAL NEUROLOGY, vol. 1, no. 11, 2014, pages 867 - 883
See also references of EP3697289A4
SHAIR, E.F. ET AL., BIOMED RESEARCH INTERNATIONAL, vol. 2017, 2017, pages 3937254
VASSELJEN, O. JR.JOHANSEN, B. M.WESTGAARD, R. H., SCAND J REHABIL MED, vol. 27, no. 4, 1995, pages 243 - 252

Also Published As

Publication number Publication date
EP3697289A1 (en) 2020-08-26
US20200323461A1 (en) 2020-10-15
EP3697289A4 (en) 2021-03-10

Similar Documents

Publication Publication Date Title
US20220031248A1 (en) Connection quality assessment for eeg electrode arrays
DK2615972T3 (en) Apparatus for automated measurement of conduction velocity and amplitude of the sural nerve
Pani et al. Validation of polymer-based screen-printed textile electrodes for surface EMG detection
Liao et al. Gaming control using a wearable and wireless EEG-based brain-computer interface device with novel dry foam-based sensors
US7628761B2 (en) Apparatus and method for performing nerve conduction studies with localization of evoked responses
US8892198B2 (en) Devices and methods for evaluating tissue
Ng et al. A low noise capacitive electromyography monitoring system for remote healthcare applications
JP2001509721A (en) Apparatus and method for assessing neuromuscular function
JP6317721B2 (en) Portable electrocardiograph
Affanni et al. Design and characterization of a real-time, wearable, endosomatic electrodermal system
JP2018038597A (en) Biological information measuring probe and biological information measuring apparatus
KR101843083B1 (en) Apparatus and method for measuring biological including multiple unit measurer
EP1364614B1 (en) Voltage measuring device comprising fixing member, electrode and transmitter
Affanni et al. Wearable instrument for skin potential response analysis in AAL applications
Zhu et al. A wearable, high-resolution, and wireless system for multichannel surface electromyography detection
Kinugasa et al. Development of Consumer-Friendly surface electromyography system for muscle fatigue detection
Popović-Maneski et al. Properties of different types of dry electrodes for wearable smart monitoring devices
Ibrahim et al. A wrist-worn strap with an array of electrodes for robust physiological sensing
Ng et al. A flexible capacitive electromyography biomedical sensor for wearable healthcare applications
CN103705231B (en) Ambulatory ecg signal catching method
US20200323461A1 (en) Point-of-care system for detection of the physical stress at different parts of body
Vavrinský et al. Application of single wireless holter to simultaneous EMG, MMG and EIM measurement of human muscles activity
WO2019168500A1 (en) Connection quality assessment for eeg electrode arrays
GB2605351A (en) System and method for monitoring muscle performance and providing real-time dynamic advice
Anas et al. On-line monitoring and analysis of bioelectrical signals

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 18867837

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

ENP Entry into the national phase

Ref document number: 2018867837

Country of ref document: EP

Effective date: 20200520