Removal of Artifacts In EEG Using ICA

Vol. 3 No. 2

Year : 2008

Issue : Nov-Jan

Title  : Removal of Artifacts In EEG Using ICA 

Author Name  : G. Wiselin Jiji, L. Ganesan 

Synopsis :

Eye blink artifacts and power line noise always disturb the electroencephalograms (EEG) recorded on the scalp and pose serious problems in its signal analysis and interpretation. In this paper, an Independent Component Analysis (ICA) algorithm was applied to extract eye movements and power noise of 50Hz in several sets of EEG data. It is confirmed that ICA method can isolate both superguassian artifacts (eye blinks) and subguassian interference (line noise). It showed that ICA algorithms could well preserve the nonlinear characteristics of EEG after removing the artifacts. Experiment results show that ICA algorithm is a quite powerful technique and suitable for EEG data processing in clinical engineering.