Methods for assessing and optimizing muscular performance including a stride rate tuning protocol

• US 10,010,260 B2
• Filed: 07/09/2015
• Issued: 07/03/2018
• 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:
  US14/795,005
• Publication Number:
  US 20150313500A1
• Time in Patent Office: 1,090 Days
• 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 stride rate tuning 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:

operably coupling one or more electromyometry (sEMG) sensors attached to skin of a subject to a computing system so as to be operably coupled with activity of one or more muscles of a subject while the subject performs a predetermined muscle activity of a muscle assessment protocol that includes a stride rate tuning protocol;

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.

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

3. The muscle assessment protocol of claim 2, wherein the predetermined muscle activity is provided to the subject by the computing system.

4. The muscle assessment protocol of claim 3, wherein the predetermined muscle activity includes a continuous exercise routine and/or 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 4, wherein:

in the stride rate tuning protocol the one or more sensors monitor muscle sEMG data while the subject adjusts their caloric consumption during a controlled activity based on sEMG data that is measured and/or analyzed, and the sEMG data is provided to the subject in order to facilitate the adjustment of caloric consumption.

8. The muscle assessment protocol of claim 4, 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);

or a 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.