%0 Journal Article
%T BLIND SIGNAL SEPARATION OF MULTI-CHANNEL EEG<br>多通道脑电信号的盲分离
%A YOU Rong-yi
%A XU Shen-chu
%A CHEN Zhong
%A <br>游荣义
%A 徐慎初
%A 陈忠
%J 生物物理学报
%D 2004
%I 
%X A new method of blind signal separation(BSS) for multi-channel EEG is propo sed, which combines the Wavelet Transform with the independent component analys is (ICA). By using the noise filtering function of wavelet transform, some high-frequency noises were removed from the original EEG, and the original EEG was reconstructed again for the input of ICA. So the defect that ICA is impossible t o distinguish noises from source signals can be overcomed effectively. The expe rimental results show that this method is an effective way to BSS of multi-chan nel EEG.
%K Electroencephalograph (EEG)
%K Wavelet transform
%K Principal component analysis(PCA)
%K Independent component analysis (ICA)
%K Blind signal se paration (BSS)<br>脑电
%K 小波变换
%K 主成分分析
%K 独立成分分析
%K 盲信号分离
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=90BA3D13E7F3BC869AC96FB3DA594E3FE34FBF7B8BC0E591&jid=E0C9D9BBED813D6674AC13E942EAC86D&aid=92FCB2D2D4FF8E37&yid=D0E58B75BFD8E51C&vid=A04140E723CB732E&iid=CA4FD0336C81A37A&sid=E44E40A2398D4F2A&eid=0D0D661F0B316AD5&journal_id=1000-6737&journal_name=生物物理学报&referenced_num=0&reference_num=13