计算机工程与应用2009，Vol.45Issue(31)：218-220,3.DOI:10.3778/j.issn.1002-8331.2009.31.065
典型相关分析去除脑电信号中眼电伪迹的研究
Research on removing EOG artifacts from EEG based on CCA
摘要
Abstract
Canonical Correlation Analysis(CCA) as a Blind Source Separation(BSS) technique is applied to the removal of Elec-troencephalography(EEG) artifacts.This method is tested and compared with the widely used Independent Component Analysis(ICA) method through experiments.The experiment results show that the CCA-based method is effective in separating and eliminating Electrooculography (EOG) contamination.Compared with ICA method,the proposed method has the advantages of simplicity and high speed.关键词
脑电信号/眼电伪迹/典型相关分析/盲源分离Key words
Electroencephalography(EEG)/EOG artifacts/ Canonical Correlation Analysis( CCA)/ Blind Source Separation (BSS)分类
医药卫生引用本文复制引用
张莉,何传红,何为..典型相关分析去除脑电信号中眼电伪迹的研究[J].计算机工程与应用,2009,45(31):218-220,3.基金项目
重庆大学高层次人才科研启动基金项目. （）
