摘要
本文采用混沌、分形的理论和方法对表面肌电信号进行处理 ,通过重构相空间 ,分析运动过程中肌电信号的混沌、分形特性。研究表明 ,肌电信号具有正的李雅谱诺夫指数 ,表现出一定的混沌特征。通过计算两路肌电信号的分形维数 ,发现不同动作的肌电信号具有不同的聚类分布。该类非线性分析方法为肌电信号的机理研究和病理诊断。
Based on the recently developed chaos and fractal theory, in this paper is presented a nonlinear analysis of surface EMG signals. By reconstructing phase space, dynamic characteristics of EMG signals were stu died. Positive maximum Lyapunov exponent was obtained from the signals, showing certain chaos features. Two channel EMG Signals during four types' of forearm motions were analyzed to calculate their fractal dimensions. It was found that myoelectric signals of different motions have different cluster distributions. The experimental result shows that this method has great potential in the Study of EMG physiological mechanism, pathology diagnostics and motion analysis.
出处
《北京生物医学工程》
2000年第2期82-86,共5页
Beijing Biomedical Engineering
基金
国家自然科学基金! ( 696750 0 2 )
