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Entropy of Electromyography Time Series by Miron Kaufman; Ulrich Zurcher; Paul S. Sung is a Physics and Astronomy article available to read on EtoBox.

What is Entropy of Electromyography Time Series about?

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.

Who reads Entropy of Electromyography Time Series?

Author

Miron Kaufman; Ulrich Zurcher; Paul S. Sung

Publisher

Elsevier Science; Elsevier ; Elsevier BV (ISSN 0378-4371)

Published

2007

Language

EN

Field

Physics and Astronomy (Physical Sciences)