电子学报Issue(6)：1207-1213,7.DOI:10.3969/j.issn.0372-2112.2013.06.026
脑电信号中眼电伪迹自动去除方法的研究
Research on Removing Ocular Artifact Automatically From EEG Signals
摘要
Abstract
Electroencephalography(EEG)is easily affected by ocular artifact (OA) ,which appears in EEG randomly as a big pulse .Based on discrete wavelet transform (DWT )and independent component analysis (ICA ) ,a novel automatic method of OA re-moval ,denoted as DWICA ,was proposed .Firstly ,DWT was applied to the recorded EEG and electrooculogram (EOG)to obtain multiple scale coefficients ,and the combined coefficients were considered as the input for ICA .Secondly ,the independent compo-nents were acquired based on FastICA algorithm with negentropy criterion .The angle cosine criterion was introduced to recognize ocular artifact component .Furthermore ,the inverse algorithm of ICA was applied to project the independent components without OA to original electrodes .Finally ,the EEG were reconstructed using the inverse algorithm of DWT ,and then the pure EEG were ob-tained .Experimental results show that DWICA is preferable in automatic removal of OA .The method provides a new idea for on-line preprocessing of EEG signals .关键词
脑电/眼电伪迹/离散小波变换/独立分量分析/自动去除Key words
electroencephalography/ocular artifact/discrete wavelet transform (DWT )/independent component analysis (ICA )/automatic removal分类
医药卫生引用本文复制引用
李明爱,崔燕,杨金福..脑电信号中眼电伪迹自动去除方法的研究[J].电子学报,2013,(6):1207-1213,7.基金项目
北京市教委项目面上项目（No ．KM201110005005）；北京市自然科学基金（No ．4112011）；北京工业大学基础研究基金 （）
