Denoising and Rhythms Extraction of EEG under +Gz Acceleration Based on Wavelet Packet Transform

摘要：

　　Filtering and feature extraction are very important in the analysis and study of EEG signal under +Gz acceleration.In this study,a new filter of different frequency characteristics of EEG signal under +Gz acceleration is constructed and four kinds of rhythms of EEG signal are extracted by using wavelet packet transformation.EEG under different G loads is analyzed and compared,and then EEG dynamic characteristics are studied in order to analyze its advantages and disadvantages.Experimental results show that wavelet packet method can effectively suppress interference bands in EEG,such as EMG,power and so on,and effectively reflect the dynamic characteristics of different rhythms,exhibiting good characteristics.The proposed method is also applicable for analyzing and studying other dynamic biomedical signals.

关键词： EEG wavelet packet filtering denoising rhythms extraction

作者: Yifeng Li Tao Zhang Lue Deng Bei Wang Masatoshi Nakamura

作者单位: Department of Automation, Tsinghua University, Beijing 100084, China; Air Force Institute of Aeromed Department of Automation, Tsinghua University, Beijing 100084, China; Key Laboratory of Advanced Con Air Force Institute of Aeromedicine, Beijing 100142, China Key Laboratory of Advanced Control and Optimization for Chemical Processes, Shanghai, 200237, China Research Institute of Systems Control Saga University Saga 840-0047, Japan

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: 642-647

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）