Independent component analysis for identification and minimization of EOG artifacts in EEG recordings

The authors have studied the application of an independent component analysis (ICA) approach to the identification and minimization of artifacts, particularly electrooculogram (EOG) in electroencephalographic recordings. A component highly correlated with EOG was extracted only from 2 channels of EEG by using ICA. The results show the capability of the method to identify and clearly isolate the produced artifact, EOG from EEG recordings.