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Statements

Subject Item
n2:RIV%2F00216208%3A11510%2F14%3A10290714%21RIV15-MSM-11510___
rdf:type
skos:Concept n16:Vysledek
rdfs:seeAlso
http://www.sciencedirect.com/science/article/pii/S0010482514000249
dcterms:description
Muscle coordination during periodic movements is often studied using the average envelope of the electromyographic (EMG) signal. We show that this method causes a loss of important information, and potentially gives rise to errors in analysis of muscle activity coordination. We created four simulated two-channel surface EMG signals, in order to compare the results of muscle onset/cessation detection, performed on the average EMG envelope and the EMG envelopes in every single movement cycle. Our results show that the common method using the average EMG envelope is unable to reveal certain important characteristics of the EMG signals, while the analysis performed on individual cycles accentuates this information. This ability was verified on 16-channel surface EMGs obtained during walking and cycling. By detecting muscle activity in individual movement cycles, we could observe fine changes in muscle coordination. Moreover, muscles with questionable reliability of activity detection were distinguished and highlighted in the presented summary figures. In the second part of the paper, our publicly available set of MATLAB files for surface EMG signal processing is described. Muscle coordination during periodic movements is often studied using the average envelope of the electromyographic (EMG) signal. We show that this method causes a loss of important information, and potentially gives rise to errors in analysis of muscle activity coordination. We created four simulated two-channel surface EMG signals, in order to compare the results of muscle onset/cessation detection, performed on the average EMG envelope and the EMG envelopes in every single movement cycle. Our results show that the common method using the average EMG envelope is unable to reveal certain important characteristics of the EMG signals, while the analysis performed on individual cycles accentuates this information. This ability was verified on 16-channel surface EMGs obtained during walking and cycling. By detecting muscle activity in individual movement cycles, we could observe fine changes in muscle coordination. Moreover, muscles with questionable reliability of activity detection were distinguished and highlighted in the presented summary figures. In the second part of the paper, our publicly available set of MATLAB files for surface EMG signal processing is described.
dcterms:title
Muscle activity detection in electromyograms recorded during periodic movements Muscle activity detection in electromyograms recorded during periodic movements
skos:prefLabel
Muscle activity detection in electromyograms recorded during periodic movements Muscle activity detection in electromyograms recorded during periodic movements
skos:notation
RIV/00216208:11510/14:10290714!RIV15-MSM-11510___
n3:aktivita
n15:S n15:I
n3:aktivity
I, S
n3:cisloPeriodika
April
n3:dodaniDat
n13:2015
n3:domaciTvurceVysledku
n11:3033694 n11:6410995 n11:5256763
n3:druhVysledku
n17:J
n3:duvernostUdaju
n19:S
n3:entitaPredkladatele
n12:predkladatel
n3:idSjednocenehoVysledku
31168
n3:idVysledku
RIV/00216208:11510/14:10290714
n3:jazykVysledku
n9:eng
n3:klicovaSlova
Signal processing; Periodic movements; Muscle activity detection; Muscle activation pattern; Kinesiology; Electromyography; Averaging
n3:klicoveSlovo
n8:Kinesiology n8:Muscle%20activation%20pattern n8:Muscle%20activity%20detection n8:Signal%20processing n8:Averaging n8:Periodic%20movements n8:Electromyography
n3:kodStatuVydavatele
US - Spojené státy americké
n3:kontrolniKodProRIV
[B104AC20D43E]
n3:nazevZdroje
Computers in Biology and Medicine
n3:obor
n18:JA
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
6
n3:rokUplatneniVysledku
n13:2014
n3:svazekPeriodika
47
n3:tvurceVysledku
Bačáková, Radka Čmejla, Roman Kračmar, Bronislav Satrapová, Lenka Novotný, Petr Špulák, Daniel
n3:wos
000347745500011
s:issn
0010-4825
s:numberOfPages
11
n14:doi
10.1016/j.compbiomed.2014.01.013
n10:organizacniJednotka
11510