小波分析在表面肌电信号(sEMG)研究中的应用  

Wavelet transform and its application in sEMG analysis

作　　者：王东岩[1] 李庆玲[1] 杜志江[1] 孙立宁[1] 叶腾茂[1] 

机构地区：[1]哈尔滨工业大学机器人研究所

出　　处：《黑龙江大学自然科学学报》2008年第4期431-436,共6页Journal of Natural Science of Heilongjiang University

基　　金：国家自然科学基金资助项目(60505016);黑龙江省科技攻关资助项目(GB04A502-2);哈尔滨市青年科学基金资助项目(2004AFQXJ017)

摘　　要：表面肌电信号是从肌肉表面通过电极记录下来的反映神经肌肉系统活动的一维时间序列非平稳生物电信号。而小波分析作为一种多分辨率时频分析方法是分析非平稳信号的有力数学工具。在简要回顾小波变换与多尺度分析的基础上,系统的总结了小波分析在当前表面肌电信号研究中的几个热点问题上的应用并剖析了其主要技术路线,包括小波分析在肌电信号预处理中的应用、小波分析在基于肌电信号的动作识别和假肢控制方法中的应用、小波分析肌肉疲劳评价中的应用等几方面。最后介绍了小波分析在笔者开发的新型外骨骼式上肢康复机械臂控制中的应用。Surface electromyogram signal is one - dimension time series nonstationary biomedical electrical signal recorded by surface electrode from muscle surface which explain activities of neuromuscular system. As a multi -res- olution time - frequency analysis method wavelet analysis is a powerful mathematical tool. A brief overview of wave- let transform and muhiscale analysis was presented. The application and technique route of wavelet analysis in hot topics of surface electromyogram signal were summarized, including the application in sEMG preprocessing, sEMG based action recognition and prosthesis controlling, muscle fatigue analysis and assessment. At last, the application of wavelet analysis in developed novel exoskeletal rehabilitation robot for upper limb was introduced briefly.

关 键 词：表面肌电信号 小波分析 信号处理 假肢控制 肌肉疲劳评价 

分 类 号：TP318.04[自动化与计算机技术—计算机软件与理论]