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
收藏
页码：144 / +
页数：2
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