Entropy of electromyography time series

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.

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Year of publication:	2007
Authors:	Kaufman, Miron ; Zurcher, Ulrich ; Sung, Paul S.
Published in:	Physica A: Statistical Mechanics and its Applications. - Elsevier, ISSN 0378-4371. - Vol. 386.2007, 2, p. 698-707
Publisher:	Elsevier
Subject:	Entropy \| Complex system \| Emg time series \| Clinical diagnosis \| Low back pain

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010590057