Methods for assessing and optimizing muscular performance including a frequency based, amplitude adjusted root mean square protocol

• US 9,918,654 B2
• Filed: 07/09/2015
• Issued: 03/20/2018
• Est. Priority Date: 09/21/2010
• Status: Active Grant

• Current Assignee: Somaxis Incorporated
• Original Assignee: Somaxis Incorporated
• Inventors: Grey, Alexander B, Georgiou, Violetta, Belani, Abhishek
• Primary Examiner(s): HINDENBURG, MAX F
• Application Number:
  US14/795,100
• Publication Number:
  US 20150305672A1
• Time in Patent Office: 985 Days
• Field of Search: 600546
• CPC Class Codes: A61B 2503/10 Athletes
• CPC Class Codes: A61B 2560/0223 of calibration, e.g. protocols for calibrating sensors
• CPC Class Codes: A61B 2560/0238 Means for recording calibration data
• CPC Class Codes: A61B 2560/0412 Low-profile patch shaped housings
• CPC Class Codes: A61B 2562/164 the sensor is mounted in or on a conformable substrate or carrier
• CPC Class Codes: A61B 5/0006 ECG or EEG signals
• CPC Class Codes: A61B 5/01 Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue clinical contact thermometers G01K13/20
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/112 Gait analysis
• CPC Class Codes: A61B 5/222 combined with detection or measurement of physiological parameters, e.g. heart rate
• CPC Class Codes: A61B 5/224 Measuring muscular strength
• CPC Class Codes: A61B 5/25 Bioelectric electrodes therefor
• CPC Class Codes: A61B 5/296 for electromyography [EMG]
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/389 Electromyography [EMG]
• CPC Class Codes: A61B 5/486 Bio-feedback A61B5/375 takes precedence
• CPC Class Codes: A61B 5/4866 Evaluating metabolism A61B5/083 takes precedence
• CPC Class Codes: A61B 5/6801 specially adapted to be attached to or worn on the body surface
• CPC Class Codes: A61B 5/6833 Adhesive patches
• CPC Class Codes: A61B 5/7235 : Details of waveform analysis A61B5/349 takes precedence
• CPC Class Codes: A61B 5/7246 : using correlation, e.g. template matching or determination of similarity
• CPC Class Codes: A61B 5/725 : using specific filters therefor, e.g. Kalman or adaptive filters A61B5/316 take precedence
• CPC Class Codes: A61B 5/7275 : Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: A61B 5/746 : Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms alarms per se G08B
• CPC Class Codes: G16H 20/10 : relating to drugs or medications, e.g. for ensuring correct administration to patients
• CPC Class Codes: G16H 20/30 : relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 20/40 : relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
• CPC Class Codes: G16H 50/20 : for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/50 : for simulation or modelling of medical disorders

Abstract

A muscle assessment protocol can include: attaching one or more surface electromyometry (sEMG) sensors to the skin of a subject to be operably coupled with one or more muscles; operably coupling the one or more sEMG sensors to a computing system; performing the predetermined muscle activity of a muscle assessment protocol that includes a frequency-based, amplitude-adjusted root mean square protocol; monitoring/recording sEMG data of the one or more muscles during the predetermined muscle activity; and providing the sEMG data to the subject such that the subject can improve muscle performance for the predetermined muscle activity by using the sEMG data. The muscle activity includes static or dynamic muscle use. The predetermined muscle activity can be provided to the subject by the computing system.

Claims

1. A muscle assessment protocol comprising:

a computer system communicating with one or more surface electromyometry (sEMG) sensors attached to skin of a subject so as to be operably coupled with one or more muscles of the subject;

the computing system monitoring and/or recording sEMG data of the one or more muscles during a predetermined muscle activity of the muscle assessment protocol that includes a frequency-based or amplitude-adjusted root mean square protocol; and

the computing system providing the sEMG data to the subject such that the subject can improve muscle performance for the predetermined muscle activity by using the sEMG data.

2. The muscle assessment protocol of claim 1, wherein the predetermined muscle activity includes static loading resistance or dynamic muscle use.

3. The muscle assessment protocol of claim 1, wherein the predetermined muscle activity is provided to the subject by the computing system.

4. The muscle assessment protocol of claim 1, wherein the predetermined muscle activity includes a continuous exercise routine, a noncontinuous exercise, or routine.

5. The muscle assessment protocol of claim 4, wherein the continuous exercise routine includes one or more of walking, jogging, running, sprinting, hiking, cycling, rollerblading, roller skating, skiing, cross-country skiing, rowing, swimming, snowboarding, yoga, pilates, or the like.

6. The muscle assessment protocol of claim 4, wherein the noncontinuous exercise routine includes one or more of firing an arrow from a bow, weightlifting, golf swing, bat swing, ball throw, punch, kick, jumping, squatting, or the like.

7. The muscle assessment protocol of claim 1, wherein:

the frequency-based, amplitude-adjusted root mean square step includes displaying sEMG data that is adjusted to compensate for muscle fatigue of the one or more muscles.

8. The muscle assessment protocol of claim 1, wherein the sEMG data is a metric selected from:

sEMG amplitude;

instantaneous rectified sEMG amplitude;

average rectified sEMG amplitude;

area under sEMG curve;

area over sEMG curve;

integrated sEMG;

derivative sEMG;

frequency-based, amplitude adjusted RMS sEMG;

mean power frequency (MPF);

muscle fatigue onset index (MFOI); and

/or combination thereof.

9. The muscle assessment protocol of claim 1, further comprising:

obtaining ECG data; and

using the ECG data in conjunction with the sEMG data.

10. A muscle assessment protocol comprising:

a computing system communicating with one or more surface electromyometry (sEMG) sensors attached to skin of a subject so as to be operably coupled with one or more muscles of a subject;

the one or more sEMG sensors being configured to be operably coupled to the computing system while a subject performs a predetermined muscle activity of an amplitude-adjusted root mean square protocol, wherein the frequency based, amplitude-adjusted root mean square protocol includes displaying sEMG data that is adjusted to compensate for muscle fatigue of the one or more muscles;

monitoring and/or recording sEMG data of the one or more muscles during the predetermined muscle activity; and

providing the sEMG data to the subject such that the subject can improve muscle performance for the predetermined muscle activity by using the sEMG data.

11. The muscle assessment protocol of claim 10, further comprising:

providing an sEMG metric to the subject during the predetermined muscle activity; and

modulating effort by the subject during the predetermined muscle activity so as to maintain the sEMG metric substantially at a constant.

12. The muscle assessment protocol of claim 10, further comprising a static muscle activity that occurs with no load or with an isometric load.

13. The muscle assessment protocol of claim 12, further comprising a static muscle activity evaluation.

14. The muscle assessment protocol of claim 13, wherein the static muscle activity evaluation includes observation of a rectified amplitude of the sEMG data.

15. The muscle assessment protocol of claim 14, wherein the static muscle activity evaluation is observed for a specific muscle or muscle group or as a comparison to other muscles or muscle groups.

16. The muscle assessment protocol of claim 10, wherein absolute levels of the sEMG data is monitored through root mean square of the sEMG amplitude.

17. The muscle assessment protocol of claim 10, wherein abnormally large values of RMS sEMG are identified or determined.

18. The muscle assessment protocol of claim 10, wherein rhythmic contraction patterns of the muscle or muscle groups are identified or determined and are based on rectified amplitude.

19. The muscle assessment protocol of claim 10, wherein during an isometric loading protocol, the subject exerts an amount of force while keeping a limb fixed in a single position.

20. The muscle assessment protocol of claim 19, wherein:

force exerted is measured as a fixed percentage of Maximum Voluntary Contraction (MVC) and a median frequency (MF) or mean power frequency (MPF) is measured or determined by observing or analyzing a frequency spectrum of sEMG.

21. The muscle assessment protocol of claim 10, wherein:

a fatigue level of muscles is established and a point at which fatigue begins to occur is identified.

22. A system for performing a muscle assessment protocol comprising:

one or more surface electromyometry (sEMG) sensor means configured to be attached to skin of a subject so as to be operably coupled with one or more muscles of the subject;

computing means configured to be operably coupled the one or more sEMG sensor means;

the computing means further configured to display sEMG data that is adjusted to compensate for muscle fatigue of the one or more muscles when the subject performs a predetermined muscle activity of an amplitude-adjusted root mean square protocol;

the computing means further configured to monitor and/or record sEMG data of the one or more muscles during the predetermined muscle activity.