Correlation between spectral and temporal mechanomyography features during functional electrical stimulation

Detalhes bibliográficos
Autor(a) principal: Krueger,Eddy
Data de Publicação: 2016
Outros Autores: Scheeren,Eduardo Mendonça, Nogueira-Neto,Guilherme Nunes, Button,Vera Lúcia da Silveira Nantes, Nohama,Percy
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Research on Biomedical Engineering (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2446-47402016000100085
Resumo: Abstract Introduction: Signal analysis involves time and/or frequency domains, and correlations are described in the literature for voluntary contractions. However, there are few studies about those correlations using mechanomyography (MMG) response during functional electrical stimulation (FES) elicited contractions in spinal cord injured subjects. This study aimed to determine the correlation between spectral and temporal MMG features during FES application to healthy (HV) and spinal cord injured volunteers (SCIV). Methods: Twenty volunteers participated in the research divided in two groups: HV (N=10) and SCIV (N=10). The protocol consisted of four FES profiles transcutaneously applied to quadriceps femoris muscle via femoral nerve. Each application produced a sustained knee extension greater than 65º up to 2 min without adjusting FES intensity. The investigation involved the correlation between MMG signal root mean square (RMS) and mean frequency (MF). Results: HV and SCIV indicated that MMGRMS and MMGMF variations were inversely related with -0.12 ≥ r ≥ -0.82. The dispersion between MMGMF and MMGRMS reached 0.50 ≤ r2 ≤ 0.64. Conclusion The increase in MMGRMS and the decrease in MMGMF may be explained by the motor units coherence during fatigue state or by motor neuron adaptation (habituation) along FES application (without modification on parameters).
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spelling Correlation between spectral and temporal mechanomyography features during functional electrical stimulationFunctional electrical stimulationMechanomyographyMuscular physiologyAbstract Introduction: Signal analysis involves time and/or frequency domains, and correlations are described in the literature for voluntary contractions. However, there are few studies about those correlations using mechanomyography (MMG) response during functional electrical stimulation (FES) elicited contractions in spinal cord injured subjects. This study aimed to determine the correlation between spectral and temporal MMG features during FES application to healthy (HV) and spinal cord injured volunteers (SCIV). Methods: Twenty volunteers participated in the research divided in two groups: HV (N=10) and SCIV (N=10). The protocol consisted of four FES profiles transcutaneously applied to quadriceps femoris muscle via femoral nerve. Each application produced a sustained knee extension greater than 65º up to 2 min without adjusting FES intensity. The investigation involved the correlation between MMG signal root mean square (RMS) and mean frequency (MF). Results: HV and SCIV indicated that MMGRMS and MMGMF variations were inversely related with -0.12 ≥ r ≥ -0.82. The dispersion between MMGMF and MMGRMS reached 0.50 ≤ r2 ≤ 0.64. Conclusion The increase in MMGRMS and the decrease in MMGMF may be explained by the motor units coherence during fatigue state or by motor neuron adaptation (habituation) along FES application (without modification on parameters).Sociedade Brasileira de Engenharia Biomédica2016-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2446-47402016000100085Research on Biomedical Engineering v.32 n.1 2016reponame:Research on Biomedical Engineering (Online)instname:Sociedade Brasileira de Engenharia Biomédica (SBEB)instacron:SBEB10.1590/2446-4740.02315info:eu-repo/semantics/openAccessKrueger,EddyScheeren,Eduardo MendonçaNogueira-Neto,Guilherme NunesButton,Vera Lúcia da Silveira NantesNohama,Percyeng2016-04-26T00:00:00Zoai:scielo:S2446-47402016000100085Revistahttp://www.rbejournal.org/https://old.scielo.br/oai/scielo-oai.php||rbe@rbejournal.org2446-47402446-4732opendoar:2016-04-26T00:00Research on Biomedical Engineering (Online) - Sociedade Brasileira de Engenharia Biomédica (SBEB)false
dc.title.none.fl_str_mv Correlation between spectral and temporal mechanomyography features during functional electrical stimulation
title Correlation between spectral and temporal mechanomyography features during functional electrical stimulation
spellingShingle Correlation between spectral and temporal mechanomyography features during functional electrical stimulation
Krueger,Eddy
Functional electrical stimulation
Mechanomyography
Muscular physiology
title_short Correlation between spectral and temporal mechanomyography features during functional electrical stimulation
title_full Correlation between spectral and temporal mechanomyography features during functional electrical stimulation
title_fullStr Correlation between spectral and temporal mechanomyography features during functional electrical stimulation
title_full_unstemmed Correlation between spectral and temporal mechanomyography features during functional electrical stimulation
title_sort Correlation between spectral and temporal mechanomyography features during functional electrical stimulation
author Krueger,Eddy
author_facet Krueger,Eddy
Scheeren,Eduardo Mendonça
Nogueira-Neto,Guilherme Nunes
Button,Vera Lúcia da Silveira Nantes
Nohama,Percy
author_role author
author2 Scheeren,Eduardo Mendonça
Nogueira-Neto,Guilherme Nunes
Button,Vera Lúcia da Silveira Nantes
Nohama,Percy
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Krueger,Eddy
Scheeren,Eduardo Mendonça
Nogueira-Neto,Guilherme Nunes
Button,Vera Lúcia da Silveira Nantes
Nohama,Percy
dc.subject.por.fl_str_mv Functional electrical stimulation
Mechanomyography
Muscular physiology
topic Functional electrical stimulation
Mechanomyography
Muscular physiology
description Abstract Introduction: Signal analysis involves time and/or frequency domains, and correlations are described in the literature for voluntary contractions. However, there are few studies about those correlations using mechanomyography (MMG) response during functional electrical stimulation (FES) elicited contractions in spinal cord injured subjects. This study aimed to determine the correlation between spectral and temporal MMG features during FES application to healthy (HV) and spinal cord injured volunteers (SCIV). Methods: Twenty volunteers participated in the research divided in two groups: HV (N=10) and SCIV (N=10). The protocol consisted of four FES profiles transcutaneously applied to quadriceps femoris muscle via femoral nerve. Each application produced a sustained knee extension greater than 65º up to 2 min without adjusting FES intensity. The investigation involved the correlation between MMG signal root mean square (RMS) and mean frequency (MF). Results: HV and SCIV indicated that MMGRMS and MMGMF variations were inversely related with -0.12 ≥ r ≥ -0.82. The dispersion between MMGMF and MMGRMS reached 0.50 ≤ r2 ≤ 0.64. Conclusion The increase in MMGRMS and the decrease in MMGMF may be explained by the motor units coherence during fatigue state or by motor neuron adaptation (habituation) along FES application (without modification on parameters).
publishDate 2016
dc.date.none.fl_str_mv 2016-03-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2446-47402016000100085
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2446-47402016000100085
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/2446-4740.02315
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Engenharia Biomédica
publisher.none.fl_str_mv Sociedade Brasileira de Engenharia Biomédica
dc.source.none.fl_str_mv Research on Biomedical Engineering v.32 n.1 2016
reponame:Research on Biomedical Engineering (Online)
instname:Sociedade Brasileira de Engenharia Biomédica (SBEB)
instacron:SBEB
instname_str Sociedade Brasileira de Engenharia Biomédica (SBEB)
instacron_str SBEB
institution SBEB
reponame_str Research on Biomedical Engineering (Online)
collection Research on Biomedical Engineering (Online)
repository.name.fl_str_mv Research on Biomedical Engineering (Online) - Sociedade Brasileira de Engenharia Biomédica (SBEB)
repository.mail.fl_str_mv ||rbe@rbejournal.org
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