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Nonlinear time-course of lumbar muscle fatigue using recurrence quantifications

Authors
  • Ikegawa, Shigeki1
  • Shinohara, Minoru2
  • Fukunaga, Tetsuo2
  • Zbilut, Joseph P.3
  • Webber Jr., Charles L.4
  • 1 Laboratory for Exercise Physiology, Tokyo Metropolitan College, Azumacho 3-6-33, Akishima 196, Tokyo, Japan, JP
  • 2 Department of Life Sciences, The University of Tokyo, Komaba 3-8-1, Meguro, Tokyo 153, Japan, JP
  • 3 Department of Molecular Biophysics and Physiology, Rush Medical College, Chicago, IL 60612, USA, US
  • 4 Department of Physiology, Loyola University Chicago, Stritch School of Medicine, Maywood, IL 60153, USA, US
Type
Published Article
Journal
Biological Cybernetics
Publisher
Springer-Verlag
Publication Date
Apr 01, 2000
Volume
82
Issue
5
Pages
373–382
Identifiers
DOI: 10.1007/s004220050591
Source
Springer Nature
Keywords
License
Yellow

Abstract

Isometric skeletal muscle fatigue is usually assumed to be a linear process based upon the monotonic decrease in spectral frequency of the EMG. Since spectral analysis by fast Fourier transform (FFT) constitutes a linear transformation of the data, the present study was designed to reevaluate the time-course of muscle fatigue with a nonlinear tool, recurrence quantification analysis (RQA). Surface EMG recordings were obtained from the multifidus muscle of 17 human subjects during isometric posture-holding of the upper torso. The process of muscle fatigue was found to be linear for 59% of the subjects by FFT criteria, but nonlinear for 76% by RQA criteria. As a demonstrative control, both slow and fast transients occurring within a nonlinear mathematical process could be accurately depicted by RQA, but not by FFT. It is concluded that assessment of EMG patterns by nonlinear techniques can give insight into the time-course of fatiguing muscles attributed to the summation of several nonlinear and competing processes.

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