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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Main Authors: Matteo Beretta-Piccoli, Corrado Cescon, Giuseppe D’Antona
Format: Article
Language:English
Published: Taylor & Francis Group 2021-01-01
Series:Arab Journal of Basic and Applied Sciences
Subjects:
Online Access:http://dx.doi.org/10.1080/25765299.2020.1862985
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spelling 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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