Abstract
Electrical bio-potentials produced by eye movements and facial muscle movements present serious problems for electroencephalographic (EEG) data interpretation and analysis. many methods have been proposed to remove artifacts from EEG recordings, especially those arising from eye movements and blinks. The EEG data set used in the analysis was collected from 3 electrodes placed on the user's forehead scalp with (Cyberlink)^<TM>. The EEG data set contained 10 subband channels and was recorded and analyzed continuously to get the artifacts-free EEG signals. We propose general applicable method for removing EOG and EMG artifacts from EEG based on independent component analysis. ICA can effectively detect, separate, and remove contamination from a wide variety of artifactual sources in EEG signals with (Cyberlink)^<TM> in online.
