Entropy of Electromyography Time Series

Authors

Miron Kaufman, Cleveland State UniversityFollow
Ulrich Zurcher, Cleveland State UniversityFollow
Paul S. Sung, Cleveland State University

Document Type

Article

Publication Date

12-15-2007

Publication Title

Physica A: Statistical Mechanics and its Applications

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.

Repository Citation

Kaufman, Miron; Zurcher, Ulrich; and Sung, Paul S., "Entropy of Electromyography Time Series" (2007). Physics Faculty Publications. 156.
https://engagedscholarship.csuohio.edu/sciphysics_facpub/156

Original Citation

Kaufman, M., Zurcher, U., , & Sung, P. S. (2007). Entropy of electromyography time series. Physica A: Statistical Mechanics and its Applications, 386(2), 698-707.

DOI

10.1016/j.physa.2007.07.045

Volume

386

Issue

2