摘要
A nonlinear analysis of time series based on entropy is applied to electromyography time series from back muscles. The entropy of the electromyography signal from the erector spinae muscle exhibits a crossover from sub-diffusive regime at short times to a self-organization regime at longer times. We believe that this approach could be used to develop a sensor for low back disease.
- 出版日期2006