SYSTEM AND METHOD FOR REMOTELY MONITORING ELECTROMYOGRAPHY THERAPY

• US 20170100034A1
• Filed: 10/07/2016
• Published: 04/13/2017
• Est. Priority Date: 09/09/2014
• Status: Abandoned Application

• Current Assignee: Dynofit, Inc.
• Original Assignee: Dynofit, Inc.
• Inventors: Loveland, Rohan C., Loveland Schneider, Maria E.
• Application Number:
  US15/288,919
• Publication Number:
  US 20170100034A1
• Time in Patent Office: Days
• CPC Class Codes: A61B 2505/09 Rehabilitation or training
• CPC Class Codes: A61B 5/0004 characterised by the type of physiological signal transmitted
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/1107 Measuring contraction of parts of the body, e.g. organ, muscle apparatus for measuring work or force in general G01L
• CPC Class Codes: A61B 5/296 for electromyography [EMG]
• CPC Class Codes: A61B 5/389 Electromyography [EMG]
• CPC Class Codes: A61B 5/4519 Muscles A61B5/389, A61B5/224 take precedence
• CPC Class Codes: A61B 5/4833 Assessment of subject's compliance to treatment
• CPC Class Codes: A61B 5/6833 Adhesive patches
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

Systems and methods for remotely monitoring electromyography therapy include receiving an analog signal from an electromyography sensor associated with contraction of a muscle of a first patient. The analog signal is converted to a digital signal. The digital signal is communicated wirelessly to a remote computing device using a communications network. The digital signal is converted into human understandable data by the remote computing device, and it is displayed graphically by the remote computing device.

Claims

1. A method of remotely monitoring electromyography therapy, comprising:

receiving an analog signal from an electromyography sensor associated with contraction of a muscle of a first patient;

converting the analog signal to a digital signal;

communicating wirelessly the digital signal to a remote computing device using a communications network;

converting the digital signal into human understandable data by the remote computing device; and

displaying graphically the human understandable data by the remote computing device.

2. The method of claim 1, further comprising:

receiving a second analog signal from a second electromyography sensor associated with contraction of a muscle of a second patient;

converting the second analog signal to a second digital signal;

communicating wirelessly the second digital signal to the remote computing device using the communication network;

converting the second digital signal into human understandable data by the remote computing device; and

displaying graphically the human understandable data associated with the second digital signal by the remote computing device.

3. The method of claim 2 wherein the communications network is the Internet.

4. The method of claim 3 wherein the human understandable data associates the muscle contraction with either the first patient or the second patient.

5. The method of claim 1 wherein communicating wirelessly the digital signal to the remote computing device comprises communicating the digital signal by the electromyography sensor to a mobile device proximate the first patient, then the mobile device communicating a corresponding digital signal to the remote computing device using the communications network.

6. The method of claim 1 further comprising communicating wirelessly the digital signal by the electromyography sensor to a mobile device proximate the first patient using a Bluetooth communication protocol.

7. The method of claim 1 wherein communicating wirelessly the digital signal to the remote computing device comprises communicating the digital signal to a cloud server using the communications network.

8. A computer implemented system for remotely monitoring electromyography therapy, comprising:

a first electromyography sensor configured to be coupled to a first patient and operable to wirelessly transmit a signal associated with contraction of a muscle of the first patient;

a second electromyography sensor configured to be coupled to a second patient and operable to transmit a signal associated with contraction of a muscle of the second patient;

a software program when executed on a computing device remote from the first and second patient operable to;

convert the signals associated with the first patient and the signals associated with the second patient into human understandable data; and

display the human understandable data associated with the first patient and the human understandable data associated with the second patient.

9. The system of claim 8 wherein the display of the human understandable data associated with both the first and second patient is on the same screen.

10. The system of claim 8 wherein the first and second electromyography sensors are operable to transmit the signals using a Bluetooth communication protocol.

11. The system of claim 8 wherein the software program is further operable to send an alert if the human understandable data associated with either the first patient or the second patient indicates a therapy protocol adherence below a predetermined threshold.

12. The system of claim 8 wherein the displayed human understandable data associated with the first patient indicates a repetition of a contraction of the muscle of the first patient and the displayed human understandable data associated with the second patient indicates a repetition contraction of the muscle of the second patient.

13. The system of claim 12 wherein the displayed human understandable data associated with the first patient indicates a strength of a contraction of the muscle of the first patient and the displayed human understandable data associated with the second patient indicates a strength of a contraction of the muscle of the second patient.

14. The system of claim 13 wherein the displayed human understandable data associated with the first patient indicates a date of a contraction of the muscle of the first patient and the displayed human understandable data associated with the second patient indicates a date of a contraction of the muscle of the second patient.

15. The system of claim 14 wherein the displayed human understandable data associated with the first patient indicates an adherence to a therapy protocol of the first patient and the displayed human understandable data associated with the second patient indicates an adherence to a therapy protocol of the second patient.

16. The system of claim 15 wherein the adherence is determined by comparing a number of muscle contraction repetitions to a predetermined goal number of muscle contraction repetitions.

17. The system of claim 8 wherein the human understandable data associated with both the first and second patient is stored in a database.

18. A method of remotely monitoring electromyography therapy of multiple patients, comprising:

communicating using a short range wireless communication protocol a signal from electromyography sensors associated with contraction of a muscle of a plurality of patients;

receiving by respective mobile devices the signals associated with each patient;

communicating wirelessly by each mobile device signals corresponding to the received short range wireless signals to a remote computing device using the Internet;

converting the received signal into human understandable data by the remote computing device; and

displaying the human understandable data by the remote computing device.

19. The method of claim 18 wherein displaying graphically the human understandable data by the remote computing device comprises displaying separately the muscle contraction data of each patient.

20. The method of claim 18 wherein communicating wirelessly by each mobile device signals corresponding to the received short range wireless signals to the remote computing device using the Internet comprises communicating the signals by each mobile device to a cloud server.