Research on removing EOG artifacts from EEG based on CCA

Canonical Correlation Analysis(CCA) as a Blind Source Separation(BSS) technique is applied to the removal of Electroencephalography(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.