Intra-Individual Variability of Surface Electromyography in Front Crawl Swimming.

The variability of electromyographic (EMG) recordings between and within participants is a complex problem, rarely studied in swimming. The importance of signal normalization has long been recognized, but the method used might influence variability. The aims of this study were to: (i) assess the int...

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Main Authors: Jonas Martens, Daniel Daly, Kevin Deschamps, Ricardo Jorge Pinto Fernandes, Filip Staes
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4682934?pdf=render
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author Jonas Martens
Daniel Daly
Kevin Deschamps
Ricardo Jorge Pinto Fernandes
Filip Staes
author_facet Jonas Martens
Daniel Daly
Kevin Deschamps
Ricardo Jorge Pinto Fernandes
Filip Staes
author_sort Jonas Martens
collection DOAJ
description The variability of electromyographic (EMG) recordings between and within participants is a complex problem, rarely studied in swimming. The importance of signal normalization has long been recognized, but the method used might influence variability. The aims of this study were to: (i) assess the intra-individual variability of the EMG signal in highly skilled front crawl swimmers, (ii) determine the influence of two methods of both amplitude and time normalization of the EMG signal on intra-individual variability and of time normalization on muscle activity level and (iii) describe the muscle activity, normalized using MVIC, in relation to upper limb crawl stroke movements. Muscle activity of rectus abdominis and deltoideus medialis was recorded using wireless surface EMG in 15 adult male competitive swimmers during three trials of 12.5 m front crawl at maximal speed without breathing. Two full upper limb cycles were analyzed from each of the swimming trials, resulting in six full cycles used for the intra-individual variability assessment, quantified with the coefficient of variation (CV), coefficient of quartile variation (CQV) and the variance ratio (VR). The results of this study support previous findings on EMG patterns of deltoideus medialis and rectus abdominis as prime mover during the recovery (45% activity relative to MVIC), and stabilizer of the trunk during the pull (14.5% activity) respectively. The intra-individual variability was lower (VR of 0.34-0.47) when compared to other cyclic movements. No meaningful differences were found between variability measures CV or VR when applying either of the amplitude or the time normalization methods. In addition to reporting the mean amplitude and standard deviation, future EMG studies in swimming should also report the intra-individual variability, preferably using VR as it is independent of peak amplitude, provides a good measure of repeatability and is insensitive to mean EMG amplitude and the degree of smoothing applied.
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spelling doaj.art-b43bfc3c51f24e00b141974a404be0312022-12-22T00:51:42ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-011012e014499810.1371/journal.pone.0144998Intra-Individual Variability of Surface Electromyography in Front Crawl Swimming.Jonas MartensDaniel DalyKevin DeschampsRicardo Jorge Pinto FernandesFilip StaesThe variability of electromyographic (EMG) recordings between and within participants is a complex problem, rarely studied in swimming. The importance of signal normalization has long been recognized, but the method used might influence variability. The aims of this study were to: (i) assess the intra-individual variability of the EMG signal in highly skilled front crawl swimmers, (ii) determine the influence of two methods of both amplitude and time normalization of the EMG signal on intra-individual variability and of time normalization on muscle activity level and (iii) describe the muscle activity, normalized using MVIC, in relation to upper limb crawl stroke movements. Muscle activity of rectus abdominis and deltoideus medialis was recorded using wireless surface EMG in 15 adult male competitive swimmers during three trials of 12.5 m front crawl at maximal speed without breathing. Two full upper limb cycles were analyzed from each of the swimming trials, resulting in six full cycles used for the intra-individual variability assessment, quantified with the coefficient of variation (CV), coefficient of quartile variation (CQV) and the variance ratio (VR). The results of this study support previous findings on EMG patterns of deltoideus medialis and rectus abdominis as prime mover during the recovery (45% activity relative to MVIC), and stabilizer of the trunk during the pull (14.5% activity) respectively. The intra-individual variability was lower (VR of 0.34-0.47) when compared to other cyclic movements. No meaningful differences were found between variability measures CV or VR when applying either of the amplitude or the time normalization methods. In addition to reporting the mean amplitude and standard deviation, future EMG studies in swimming should also report the intra-individual variability, preferably using VR as it is independent of peak amplitude, provides a good measure of repeatability and is insensitive to mean EMG amplitude and the degree of smoothing applied.http://europepmc.org/articles/PMC4682934?pdf=render
spellingShingle Jonas Martens
Daniel Daly
Kevin Deschamps
Ricardo Jorge Pinto Fernandes
Filip Staes
Intra-Individual Variability of Surface Electromyography in Front Crawl Swimming.
PLoS ONE
title Intra-Individual Variability of Surface Electromyography in Front Crawl Swimming.
title_full Intra-Individual Variability of Surface Electromyography in Front Crawl Swimming.
title_fullStr Intra-Individual Variability of Surface Electromyography in Front Crawl Swimming.
title_full_unstemmed Intra-Individual Variability of Surface Electromyography in Front Crawl Swimming.
title_short Intra-Individual Variability of Surface Electromyography in Front Crawl Swimming.
title_sort intra individual variability of surface electromyography in front crawl swimming
url http://europepmc.org/articles/PMC4682934?pdf=render
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