Entropy of electromyography time series

Miron Kaufman, Ulrich Zurcher and Paul S. Sung

Physica A: Statistical Mechanics and its Applications, 2007, vol. 386, issue 2, 698-707

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.

Keywords: Entropy; Complex system; Emg time series; Clinical diagnosis; Low back pain (search for similar items in EconPapers)
Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:386:y:2007:i:2:p:698-707

DOI: 10.1016/j.physa.2007.07.045

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