标题:Removal of ECG artifacts from EEG using ICA
作者:Zhou, Wcidong
通讯作者:Zhou, W.
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
出版年:2002
卷:1
页码:206-207
DOI:10.1109/IEMBS.2002.1134458
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.
收录类别:EI;SCOPUS
Scopus被引频次:8
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-0036912699&partnerID=40&md5=683ae97690120318972fd16571999549
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