Removal of eye blink artifacts from EEG signals based on cross-correlation

Abstract

Artifacts such as eye blinks cause interference signals within electroencephalogram (EEG) measurements. Therefore, we propose a method for artifact removal based on certain power spectrum features of independent components extracted from the EEGs by fusing ensemble average and cross-corrasion parameter. First, each independent component which was assumed to be a source was searched by applying cross-corrasion parameter to EEG which involved artifacts relevant to the eye blinks of a normal person. Next, the signal which was assumed to be blink artifacts can be removed using high-pass filtering. The removal results of the eye blink artifacts are fed into the interpretation system. © 2007 IEEE.