A statistical physics approach to data assimilation of time series

被引：0

作者：

Kauftnan, Miron ^{[1
]}

Zurcher, Ulrich ^{[1
]}

Sung, Paul ^{[2
]}

机构：

[1] Cleveland State Univ, Dept Phys, Cleveland, OH 44115 USA

[2] Cleveland State Univ, Dept Hlth Sci, Cleveland, OH 44115 USA

来源：

3RD INT CONF ON CYBERNETICS AND INFORMATION TECHNOLOGIES, SYSTEMS, AND APPLICAT/4TH INT CONF ON COMPUTING, COMMUNICATIONS AND CONTROL TECHNOLOGIES, VOL 3 | 2006年

关键词：

entropy; EMG time series; low back pain sensor;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

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.

引用

页码：144 / +

页数：2

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