Removal of Eye Blink Artifacts From EEG Signals Based on Cross-Correlation

Authors:
Kil-Sang Yoo;Tristan Basa;Won-Hyung Lee
Affiliations:
-;-;-
Venue:
ICCIT '07 Proceedings of the 2007 International Conference on Convergence Information Technology
Year:
2007

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HCII'11 Proceedings of the 14th international conference on Human-computer interaction: towards mobile and intelligent interaction environments - Volume Part III

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Abstract

Artifacts such as eye blinks cause interference signals within electroencephalogram (EEG) measurements. There- fore, we propose a method for artifact removal based on certain power spectrum features of independent compo- nents extracted from the EEGs by fusing ensemble aver- age 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 in- volved artifacts relevant to the eye blinks of a normal per- son. Next, the signal which was assumed to be blink arti- facts can be removed using high-pass filtering. The removal results of the eye blink artifacts are fed into the interpreta- tion system.