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Assessing muscle fatigue

A muscle fatigue, muscle technique, applied in the field of assessment of muscle fatigue

Pending Publication Date: 2021-11-12
KONINKLJIJKE PHILIPS NV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Furthermore, sEMG-derived features (e.g., root mean square (RMS)) and integral electromyography (iEMG) can provide misleading information because they are not robust to motion artifacts and signal noise, and they require normalization

Method used

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  • Assessing muscle fatigue

Examples

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Embodiment Construction

[0037] According to the techniques described herein, improvements in the assessment of muscle fatigue are provided that enable any of the following: enable assessment of muscle fatigue over time outside of a laboratory or clinical setting, enable The use of sensors other than electrographic (sEMG) and / or signatures that must be derived from sEMG measurements to assess muscle fatigue enables information to assess muscle fatigue. A subject to which the techniques described herein can be applied can be a human or an animal. In some embodiments, the muscle(s) for which fatigue is determined can be any muscle in the forearm (e.g., flexor hallucis longus, flexor digitorum profundus, extensor carpi radialis longus, and extensor carpi radialis brevis extensors, extensors of the fingers, extensors of the carpi ulnaris), or any muscle in the legs or back.

[0038] figure 1 A system 2 is illustrated according to an exemplary embodiment of the teachings presented herein. In this embod...

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Abstract

According to an aspect, there is provided a computer-implemented method for assessing muscle fatigue in at least one muscle of a subject. The method comprises (i) obtaining a first set of measurements of muscle contractions of the at least one muscle for a first time period; (ii) forming a first frequency distribution from values of a muscle contraction feature determined from the first set of measurements; (iii) determining a first distribution fit of the first frequency distribution; (iv) determining whether the first distribution fit is statistically stable; (v) if the first distribution fit is determined to be statistically stable, determining, from the first distribution fit, a first value for a distribution fit feature; (vi) comparing the first value to a second value for the distribution fit feature to determine a measure of the fatigue of the at least one muscle during the first time period, wherein the second value for the distribution fit feature relates to a second distribution fit of a second frequency distribution, wherein the second frequency distribution is formed from values of the muscle contraction feature determined from a second set of measurements of muscle contractions of the at least one muscle for a second time period that is different to the first time period; and (vii) outputting a signal representing the determined measure of the fatigue.

Description

technical field [0001] The present invention relates to the assessment of muscle fatigue in at least one muscle of a subject, and in particular to a computer-implemented method, apparatus and computer program product for assessing muscle fatigue. Background technique [0002] Muscle fatigue and muscle fatigability are useful information in several fields (eg, in the context of sports, rehabilitation after injury or surgery, patient care and deterioration, independent living (particularly the elderly), and occupational physiology). [0003] Muscle fatigue can routinely be inferred by using surface electromyography (sEMG) and fatigue protocols (repeated muscle contractions) and / or electrical stimulation of muscles in the laboratory under controlled conditions and using specialized instruments. [0004] Paper "Detection of muscle fatigue using wearable (MYO) surface electromyography based controldevice" by T.M.Nourhan, M.Piechnick, J.Falkenberg and T.Nazmy (8th International Co...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/389A61B5/11A61B5/00
CPCA61B5/1107A61B5/4519A61B5/389A61B5/1101A61B5/7246A61B5/7278A61B2562/0219A61B2562/0261
Inventor F·萨尔托尔
Owner KONINKLJIJKE PHILIPS NV
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