EEG feature extraction for imagery movement based on improved WICA method

摘要：

　　Mu rhythm is produced in motor sensory cortex of human brain,a region associated with voluntary movement.Feature extraction for imagery movement related to in this paper is based on mu rhythm.The result of the new method we put forward showed that we can separate EEG signal from power frequency noise.We extracted the mu rhythm by wavelet transform,enhancing features using improved ICA algorithm.We successfully extracted the mu rhythm feature with improved WICA and the experiment results demonstrate that the new method is effective.

关键词： Mu rhythm imagery movement feature extraction improved WICA

作者: Nianqiang Li Yongling Wang

作者单位: Shandong Provincial Key Laboratory of Network Based Intelligent Computing;School of Information Science and Engineering;University of Jinan

会议类型: 国际会议

会议名称: 2013 International Conference on Information, Business and Education Technology (2013信息、商业与教育技术国际会议(ICIBET 2013))

会议地点: 北京

会议语种:英文

页码: 90-95

在线出版日期: 2013-03-14（万方平台首次上网日期，不代表论文的发表时间）