Application of EEG and MEG Based on ICA

摘要：

EEG often contain various forms of noise interference signal. As the interferences and EEG are overlapped in frequency spectrum, so the traditional time or frequency method can not get good results to remove the artifacts and noise in EEG. and EEG signals. A new fixed-point algorithm combine Extend-ICA approach for processing EEG is introduced. The validity of this approach is confimed by the simulations and experimental results.

关键词： fized-point algorithm eztend-ICA EEG

作者: JIA Zhiyan FAN Yongsheng

作者单位: Department of Electronic Science and Technology, North University of China, Taiyuan, Shanxi, China, 030051

会议类型: 国际会议

会议名称: 第八届国际测试技术研讨会(8th International Symposium on Test and Measurement)

会议地点: 重庆

会议语种:英文

页码: 651-654

在线出版日期: 2009-08-01（万方平台首次上网日期，不代表论文的发表时间）