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Application of Surface Electromyography in Exercise Fatigue: A Review
Exercise fatigue is a common physiological phenomenon in human activities. The occurrence of exercise fatigue can reduce human power output and exercise performance, and increased the risk of sports injuries. As physiological signals that are closely related to human activities, surface electromyogr...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9406287/ https://www.ncbi.nlm.nih.gov/pubmed/36032326 http://dx.doi.org/10.3389/fnsys.2022.893275 |
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author | Sun, Jiaqi Liu, Guangda Sun, Yubing Lin, Kai Zhou, Zijian Cai, Jing |
author_facet | Sun, Jiaqi Liu, Guangda Sun, Yubing Lin, Kai Zhou, Zijian Cai, Jing |
author_sort | Sun, Jiaqi |
collection | PubMed |
description | Exercise fatigue is a common physiological phenomenon in human activities. The occurrence of exercise fatigue can reduce human power output and exercise performance, and increased the risk of sports injuries. As physiological signals that are closely related to human activities, surface electromyography (sEMG) signals have been widely used in exercise fatigue assessment. Great advances have been made in the measurement and interpretation of electromyographic signals recorded on surfaces. It is a practical way to assess exercise fatigue with the use of electromyographic features. With the development of machine learning, the application of sEMG signals in human evaluation has been developed. In this article, we focused on sEMG signal processing, feature extraction, and classification in exercise fatigue. sEMG based multisource information fusion for exercise fatigue was also introduced. Finally, the development trend of exercise fatigue detection is prospected. |
format | Online Article Text |
id | pubmed-9406287 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94062872022-08-26 Application of Surface Electromyography in Exercise Fatigue: A Review Sun, Jiaqi Liu, Guangda Sun, Yubing Lin, Kai Zhou, Zijian Cai, Jing Front Syst Neurosci Neuroscience Exercise fatigue is a common physiological phenomenon in human activities. The occurrence of exercise fatigue can reduce human power output and exercise performance, and increased the risk of sports injuries. As physiological signals that are closely related to human activities, surface electromyography (sEMG) signals have been widely used in exercise fatigue assessment. Great advances have been made in the measurement and interpretation of electromyographic signals recorded on surfaces. It is a practical way to assess exercise fatigue with the use of electromyographic features. With the development of machine learning, the application of sEMG signals in human evaluation has been developed. In this article, we focused on sEMG signal processing, feature extraction, and classification in exercise fatigue. sEMG based multisource information fusion for exercise fatigue was also introduced. Finally, the development trend of exercise fatigue detection is prospected. Frontiers Media S.A. 2022-08-11 /pmc/articles/PMC9406287/ /pubmed/36032326 http://dx.doi.org/10.3389/fnsys.2022.893275 Text en Copyright © 2022 Sun, Liu, Sun, Lin, Zhou and Cai. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Sun, Jiaqi Liu, Guangda Sun, Yubing Lin, Kai Zhou, Zijian Cai, Jing Application of Surface Electromyography in Exercise Fatigue: A Review |
title | Application of Surface Electromyography in Exercise Fatigue: A Review |
title_full | Application of Surface Electromyography in Exercise Fatigue: A Review |
title_fullStr | Application of Surface Electromyography in Exercise Fatigue: A Review |
title_full_unstemmed | Application of Surface Electromyography in Exercise Fatigue: A Review |
title_short | Application of Surface Electromyography in Exercise Fatigue: A Review |
title_sort | application of surface electromyography in exercise fatigue: a review |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9406287/ https://www.ncbi.nlm.nih.gov/pubmed/36032326 http://dx.doi.org/10.3389/fnsys.2022.893275 |
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