A comparison of EMG-based muscle fatigue assessments during dynamic contractions.

Autor: Rogers DR; Institute of Biomedical Engineering, Department of Electrical and Computer Engineering, University of New Brunswick, Canada. dan.rogers@unb.ca, MacIsaac DT
Jazyk: angličtina
Zdroj: Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology [J Electromyogr Kinesiol] 2013 Oct; Vol. 23 (5), pp. 1004-11. Date of Electronic Publication: 2013 Jun 22.
DOI: 10.1016/j.jelekin.2013.05.005
Abstrakt: Several EMG-based approaches to muscle fatigue assessment have recently been proposed in the literature. In this work, two multivariate fatigue indices developed by the authors: a generalized mapping index (GMI) and the first component of principal component analysis (PCA) were compared to three univariate indices: Dimitrov's normalized spectral moments (NSM), Gonzalez-Izal's waveletbased indices (WI), and Talebinejad's fractal-based Hurst Exponent (HE). Nine healthy participants completed two repetitions of fatigue tests during isometric, cyclic and random fatiguing contractions of the biceps brachii. The fatigue assessments were evaluated in terms of a modified sensitivity to variability ratio yielding the following scores (mean±std.dev.): PCA: (12.6±5.6), GMI: (11.5±5.4), NSM: (10.3±5.4), WI: (8.9±4.6), HE: (8.0±3.3). It was shown that PCA statistically outperformed WI and HE (p<0.01) and that GMI outperformed HE (p<0.02). There was no statistical difference among NSM, WI and HE (p>0.2). It was found that taking the natural logarithm of NSM and WI, although reducing the parameters' sensitivity to fatigue, increased SVR scores by reducing variability.
(Copyright © 2013 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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