Entropy of Electromyography Time Series

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    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.

    Original languageAmerican English
    JournalPhysica A: Statistical Mechanics and its Applications
    Volume386
    DOIs
    StatePublished - Dec 15 2007

    Keywords

    • Entropy; Complex system; Emg time series; Clinical diagnosis; Low back pain

    Disciplines

    • Physics

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