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Correlation between spectral and temporal mechanomyography features during functional electrical stimulation
Krueger, Eddy; Scheeren, Eduardo Mendonça; Nogueira-Neto, Guilherme Nunes; Button, Vera Lúcia da Silveira Nantes; Nohama, Percy.
Afiliação
  • Krueger, Eddy; Universidade Tecnológica Federal do Paraná. Graduate Program in Electrical and Computer Engineering. Curitiba. BR
  • Scheeren, Eduardo Mendonça; Universidade Tecnológica Federal do Paraná. Graduate Program in Electrical and Computer Engineering. Curitiba. BR
  • Nogueira-Neto, Guilherme Nunes; Universidade Tecnológica Federal do Paraná. Graduate Program in Electrical and Computer Engineering. Curitiba. BR
  • Button, Vera Lúcia da Silveira Nantes; Universidade Tecnológica Federal do Paraná. Graduate Program in Electrical and Computer Engineering. Curitiba. BR
  • Nohama, Percy; Universidade Tecnológica Federal do Paraná. Graduate Program in Electrical and Computer Engineering. Curitiba. BR
Res. Biomed. Eng. (Online) ; 32(1): 85-91, Jan.-Mar. 2016. tab, graf
Artigo em Inglês | LILACS | ID: biblio-829461
Biblioteca responsável: BR1.1
ABSTRACT
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).


Texto completo: Disponível Coleções: Bases de dados internacionais Base de dados: LILACS Idioma: Inglês Revista: Res. Biomed. Eng. (Online) Assunto da revista: Engenharia Biom‚dica Ano de publicação: 2016 Tipo de documento: Artigo País de afiliação: Brasil Instituição/País de afiliação: Universidade Tecnológica Federal do Paraná/BR

Texto completo: Disponível Coleções: Bases de dados internacionais Base de dados: LILACS Idioma: Inglês Revista: Res. Biomed. Eng. (Online) Assunto da revista: Engenharia Biom‚dica Ano de publicação: 2016 Tipo de documento: Artigo País de afiliação: Brasil Instituição/País de afiliação: Universidade Tecnológica Federal do Paraná/BR
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