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Entropy of electromyography time series

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  • Kaufman, Miron
  • Zurcher, Ulrich
  • Sung, Paul S.

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.

Suggested Citation

  • Kaufman, Miron & Zurcher, Ulrich & Sung, Paul S., 2007. "Entropy of electromyography time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 386(2), pages 698-707.
    • Handle: RePEc:eee:phsmap:v:386:y:2007:i:2:p:698-707
    DOI: 10.1016/j.physa.2007.07.045
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    References listed on IDEAS

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    1. Philip A. Allen & Martin D. Murphy & Miron Kaufman & Karen E. Groth & Ana Begovic, 2004. "Age Differences in Central (Semantic) and Peripheral Processing: The Importance of Considering Both Response Times and Errors," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 59(5), pages 210-219.
    2. Plamen Ch. Ivanov & Luís A. Nunes Amaral & Ary L. Goldberger & Shlomo Havlin & Michael G. Rosenblum & Zbigniew R. Struzik & H. Eugene Stanley, 1999. "Multifractality in human heartbeat dynamics," Nature, Nature, vol. 399(6735), pages 461-465, June.
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