The Research on Surface Electromyography Signal Effective Feature Extraction

摘要：

An important issue in the classification of electromyography signals is the classifier design. For surface electromyography signals in the acquisition process of serious interference by the noise, in particular frequency electrical interference, we use the zero mean of the electromyography signals and the whole cycle of filtering, obtain effective extraction of the electromyography signals characteristics, we compared the whole period of Electromyography signals filtering and f non-whole period filtering for hand acting, obtains the whole period of electromyography signals filtering to suppress interference is a very effective method. The way of electromyography signals feature extraction provides a simple, fast and practical method and lay the foundation for follow-up electromyography signals multi-action recognition.

关键词： Electromyography signals whole period filter zero mean

作者: Hanqing Zhao Guoqiang Xu

作者单位: Collge of Measure-Control Technology and Communication Engineering,Harbin University of Science and Collge of Automation,Harbin University of Science and Technology,Harbin,China

会议类型: 国际会议

会议名称: The 6th International Forum on Strategic Technology(IFOST 2011)(第六届国际战略技术论坛)

会议地点: 哈尔滨

会议语种:英文

页码: 1195-1198

在线出版日期: 2011-08-22（万方平台首次上网日期，不代表论文的发表时间）