自动化学报2017，Vol.43Issue(10)：1726-1735,10.DOI:10.16383/j.aas.2017.c160191
单通道脑电信号眼电伪迹去除算法研究
EOG Artifact Removing Method for Single-channel EEG Signal
摘要
Abstract
Electrooculography (EOG) artifacts generated by eye movements and blinks are the major artifacts in electroencephalography (EEG).There are many common effective methods for removing the multi-channel EEG artifacts.However,due to the limitation of input channel number and the lack of reference EOG signal,there is no very effective artifact removing method for single-channel EEG signal.In the present study,a novel EOG artifact removing algorithm WT-EEMD-ICA for single-channel EEG signal is proposed based on wavelet transform (WT),ensemble empirical mode decomposition (EEMD) and independent component analysis (ICA) technologies.The result shows that the WT-EEMDICA method,which successfully solves the overcomplete problem of WT-ICA in single channel artifact removal,can separate the EOG and EEG successfully only from one single-channel EEG,and that the useful information involved in original EEG signal can be greatly saved.关键词
脑电信号/眼电伪迹/小波变换/集合经验模态分解/独立成分分析Key words
Electroencephalography (EEG)/electrooculography (EOG)/wavelet transform (WT)/ensemble empirical mode decomposition (EEMD)/independent component analysis (ICA)引用本文复制引用
刘志勇,孙金玮,卜宪庚..单通道脑电信号眼电伪迹去除算法研究[J].自动化学报,2017,43(10):1726-1735,10.基金项目
国家自然科学基金(61301012),哈尔滨市科技创新人才研究专项资金(2015RAXXJ038),中央高校基本科研业务费专项资金(2013004,2013005)资助 （61301012）
Supported by National Natural Science Foundation of China(61301012),Sci-tech Innovation Foundation of Harbin (2015RAXXJ038),and Fundamental Research Funds for the Central Universities (2013004,2013005) （61301012）
