标题：Removal of ECG artifacts from EEG using ICA
作者机构：[Zhou, Wcidong ] School of Information Science, Shandong University, Jinan 250100, China
会议名称：Proceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS)
会议日期：23 October 2002 through 26 October 2002
来源：Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
关键词：Blind source separation; Electroencephalograph; Independent component analysis; Negentropy
摘要：The Independent component analysis (ICA) in Blind source separation (BSS) is introduced. A fast ICA algorithm is proposed. In contrast to most blind source separation algorithms, the method does not need to calculate higher order statistics. A pre-whiten procedure is performed to de-correlating the sensor signals before extracting vector. The proposed method is used to remove the ECG artifacts from clinical EEG signals successfully.