A computational model to investigate the effect of pennation angle on surface electromyogram of Tibialis Anterior.

A computational model to investigate the effect of pennation angle on surface electromyogram of Tibialis Anterior.

This study has described and experimentally validated the differential electrodes surface electromyography (sEMG) model for tibialis anterior muscles during isometric contraction. This model has investigated the effect of pennation angle on the simulated sEMG signal. The results show that there is n...

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Main Authors: Diptasree Maitra Ghosh, Dinesh Kumar, Sridhar Poosapadi Arjunan, Ariba Siddiqi, Ramakrishnan Swaminathan
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2017-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5720512?pdf=render
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spelling doaj-005d002d5f3649718ee75b699d4709712020-11-25T00:24:19ZengPublic Library of Science (PLoS)PLoS ONE1932-62032017-01-011212e018903610.1371/journal.pone.0189036A computational model to investigate the effect of pennation angle on surface electromyogram of Tibialis Anterior.Diptasree Maitra GhoshDinesh KumarSridhar Poosapadi ArjunanAriba SiddiqiRamakrishnan SwaminathanThis study has described and experimentally validated the differential electrodes surface electromyography (sEMG) model for tibialis anterior muscles during isometric contraction. This model has investigated the effect of pennation angle on the simulated sEMG signal. The results show that there is no significant effect of pennation angle in the range 0° to 20° to the single fibre action potential shape recorded on the skin surface. However, the changes with respect to pennation angle are observed in sEMG amplitude, frequency and fractal dimension. It is also observed that at different levels of muscle contractions there is similarity in the relationships with Root Mean Square, Median Frequency, and Fractal Dimension of the recorded and simulated sEMG signals.http://europepmc.org/articles/PMC5720512?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Diptasree Maitra Ghosh
Dinesh Kumar
Sridhar Poosapadi Arjunan
Ariba Siddiqi
Ramakrishnan Swaminathan
spellingShingle Diptasree Maitra Ghosh
Dinesh Kumar
Sridhar Poosapadi Arjunan
Ariba Siddiqi
Ramakrishnan Swaminathan
A computational model to investigate the effect of pennation angle on surface electromyogram of Tibialis Anterior.
PLoS ONE
author_facet Diptasree Maitra Ghosh
Dinesh Kumar
Sridhar Poosapadi Arjunan
Ariba Siddiqi
Ramakrishnan Swaminathan
author_sort Diptasree Maitra Ghosh
title A computational model to investigate the effect of pennation angle on surface electromyogram of Tibialis Anterior.
title_short A computational model to investigate the effect of pennation angle on surface electromyogram of Tibialis Anterior.
title_full A computational model to investigate the effect of pennation angle on surface electromyogram of Tibialis Anterior.
title_fullStr A computational model to investigate the effect of pennation angle on surface electromyogram of Tibialis Anterior.
title_full_unstemmed A computational model to investigate the effect of pennation angle on surface electromyogram of Tibialis Anterior.
title_sort computational model to investigate the effect of pennation angle on surface electromyogram of tibialis anterior.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2017-01-01
description This study has described and experimentally validated the differential electrodes surface electromyography (sEMG) model for tibialis anterior muscles during isometric contraction. This model has investigated the effect of pennation angle on the simulated sEMG signal. The results show that there is no significant effect of pennation angle in the range 0° to 20° to the single fibre action potential shape recorded on the skin surface. However, the changes with respect to pennation angle are observed in sEMG amplitude, frequency and fractal dimension. It is also observed that at different levels of muscle contractions there is similarity in the relationships with Root Mean Square, Median Frequency, and Fractal Dimension of the recorded and simulated sEMG signals.
url http://europepmc.org/articles/PMC5720512?pdf=render
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