| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 978074 | Physica A: Statistical Mechanics and its Applications | 2007 | 10 Pages |
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.
Related Topics
Physical Sciences and Engineering
Mathematics
Mathematical Physics
Authors
Miron Kaufman, Ulrich Zurcher, Paul S. Sung,