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.
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