dc.creatorKrueger
dc.creatorEddy; Scheeren
dc.creatorEduardo Mendonça; Nogueira-Neto
dc.creatorGuilherme Nunes; Button
dc.creatorVera Lúcia da Silveira Nantes; Nohama
dc.creatorPercy
dc.date2016
dc.date2017-08-30T17:37:55Z
dc.date2017-08-30T17:37:55Z
dc.date.accessioned2018-03-29T05:30:53Z
dc.date.available2018-03-29T05:30:53Z
dc.identifierResearch On Biomedical Engineering . Sociedade Brasileira De Engenharia Biomédica, v. 32, n. 1, p. 85 - 91
dc.identifier2446-4740
dc.identifierS2446-47402016000100085
dc.identifierhttp://www.scielo.br/scielo.php?script=sci_arttext&pid=S2446-47402016000100085&lng=en&tlng=en
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/324936
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1359154
dc.descriptionSignal 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).
dc.description32
dc.description1
dc.description85
dc.description91
dc.languageIngles
dc.publisherSociedade Brasileira de Engenharia Biomédica
dc.relationResearch on Biomedical Engineering
dc.rightsaberto
dc.sourceScielo
dc.subjectFunctional Electrical Stimulation
dc.subjectMechanomyography
dc.subjectMuscular Physiology
dc.titleCorrelation Between Spectral And Temporal Mechanomyography Features During Functional Electrical Stimulation
dc.typeArtículos de revistas


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