The Study on Feature Selection Strategy in EMG Signal Recognition

摘要：

　　In this paper,the wavelet package-based feature extraction method is utilized to get the discriminative feature set.Furthermore,two categories of feature selection mechanisms,i.e.,filter-based and wrapper-based feature selection,are introduced.As the classic representatives,the rough set and principal component analysis techniques are subject to the filter-based feature selection mechanism while the sequential forward search and backward elimination techniques are subject to the wrapper-based mechanism.All the four techniques are employed to refine the full feature set and the comparison result is analyzed with the adoption of support-vector-machine classifier.Experiments show that considering the classification accuracy and time consumption,the wavelet package-rough set is an advisable feature extraction and reduction method for the electromyographic (EMG) signals.

作者: Zhiguo Yan Zekun Liu

作者单位: Research Center of the Things of Internet The Third Research Institute of Ministry of Public Security Shanghai, China

会议类型: 国际会议

会议名称: 2013 ICME International Conference on Complex Medical Engineering(2013 ICME复合医学工程国际会议)

会议地点: 北京

会议语种:英文

页码: 711-716

在线出版日期: 2013-05-25（万方平台首次上网日期，不代表论文的发表时间）