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Article
Entropy of Electromyography Time Series
Physica A: Statistical Mechanics and its Applications
  • Miron Kaufman, Cleveland State University
  • Ulrich Zurcher, Cleveland State University
  • Paul S. Sung, Cleveland State University
Document Type
Article
Publication Date
12-15-2007
Disciplines
Abstract
A nonlinear analysis based on Renyi entropy is applied to electromyography (EMG) time series from back muscles. The time dependence of the entropy of the EMG signal exhibits a crossover from a subdiffusive regime at short times to a plateau at longer times. We argue that this behavior characterizes complex biological systems. The plateau value of the entropy can be used to differentiate between healthy and low back pain individuals.
DOI
10.1016/j.physa.2007.07.045
Citation Information
Kaufman, M., Zurcher, U., , & Sung, P. S. (2007). Entropy of electromyography time series. Physica A: Statistical Mechanics and its Applications, 386(2), 698-707.