Evaluation of performance fatigability through surface EMG in health and muscle disease: state of the art
In literature, it is commonly reported that the progress of performance fatigability may be indirectly assessed through the changes in the features of the surface electromyogram (sEMG) signal. In particular, during isometric constant force contractions, changes in the sEMG signal are caused by sever...
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Online Access: | http://dx.doi.org/10.1080/25765299.2020.1862985 |
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doaj-31662a9f6e2f44d4a63a37463b5755852021-01-05T10:59:22ZengTaylor & Francis GroupArab Journal of Basic and Applied Sciences2576-52992021-01-01281204010.1080/25765299.2020.18629851862985Evaluation of performance fatigability through surface EMG in health and muscle disease: state of the artMatteo Beretta-Piccoli0Corrado Cescon1Giuseppe D’Antona2Criams-Sport Medicine Centre Voghera, University of PaviaRehabilitation Research Laboratory 2rLab, Department of Business Economics, Health and Social Care, University of Applied, Sciences and Arts of Southern SwitzerlandCriams-Sport Medicine Centre Voghera, University of PaviaIn literature, it is commonly reported that the progress of performance fatigability may be indirectly assessed through the changes in the features of the surface electromyogram (sEMG) signal. In particular, during isometric constant force contractions, changes in the sEMG signal are caused by several physiological factors, such as a decay in muscle fibers conduction velocity (CV), an increase of the degree of synchronization between the firing times of simultaneously active motor units (MUs), by the central nervous system, and a reduction of the recruitment threshold and a modulation of MUs firing rate. Amplitude and spectral parameters may be used to characterize the global contributions to performance fatigability, such as MU control properties and fiber membrane properties, or central and peripheral factors, respectively. In addition, being CV a physiological parameter, its estimation is of marked interest to the study of fatigue both in physiological and in presence of neuromuscular diseases.http://dx.doi.org/10.1080/25765299.2020.1862985conduction velocityfractal dimensionmotor unit synchronizationsemg |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Matteo Beretta-Piccoli Corrado Cescon Giuseppe D’Antona |
spellingShingle |
Matteo Beretta-Piccoli Corrado Cescon Giuseppe D’Antona Evaluation of performance fatigability through surface EMG in health and muscle disease: state of the art Arab Journal of Basic and Applied Sciences conduction velocity fractal dimension motor unit synchronization semg |
author_facet |
Matteo Beretta-Piccoli Corrado Cescon Giuseppe D’Antona |
author_sort |
Matteo Beretta-Piccoli |
title |
Evaluation of performance fatigability through surface EMG in health and muscle disease: state of the art |
title_short |
Evaluation of performance fatigability through surface EMG in health and muscle disease: state of the art |
title_full |
Evaluation of performance fatigability through surface EMG in health and muscle disease: state of the art |
title_fullStr |
Evaluation of performance fatigability through surface EMG in health and muscle disease: state of the art |
title_full_unstemmed |
Evaluation of performance fatigability through surface EMG in health and muscle disease: state of the art |
title_sort |
evaluation of performance fatigability through surface emg in health and muscle disease: state of the art |
publisher |
Taylor & Francis Group |
series |
Arab Journal of Basic and Applied Sciences |
issn |
2576-5299 |
publishDate |
2021-01-01 |
description |
In literature, it is commonly reported that the progress of performance fatigability may be indirectly assessed through the changes in the features of the surface electromyogram (sEMG) signal. In particular, during isometric constant force contractions, changes in the sEMG signal are caused by several physiological factors, such as a decay in muscle fibers conduction velocity (CV), an increase of the degree of synchronization between the firing times of simultaneously active motor units (MUs), by the central nervous system, and a reduction of the recruitment threshold and a modulation of MUs firing rate. Amplitude and spectral parameters may be used to characterize the global contributions to performance fatigability, such as MU control properties and fiber membrane properties, or central and peripheral factors, respectively. In addition, being CV a physiological parameter, its estimation is of marked interest to the study of fatigue both in physiological and in presence of neuromuscular diseases. |
topic |
conduction velocity fractal dimension motor unit synchronization semg |
url |
http://dx.doi.org/10.1080/25765299.2020.1862985 |
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