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SOBI-RO for Automatic Removal of Electroocular Artifacts from EEG Data-Based Motor Imagery

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Abstract

Signals from eye movements and blinks can be orders of magnitude larger than braingenerated electrical potentials and are one of the main sources of artifacts in electroencephalographic (EEG) data. This article presents a method based on blind source separation (BSS) for automatic removal of electroocular artifacts from EEG datain amotor imagery experiment. BBS is a signalprocessing methodology that includes independent component analysis (ICA)using second order blind identification with robust orthogonalization (SOBI-RO) is proposed.Simulation results shows that the ocular artifacts are significantly removed and the sources of the brain activity are clearly identified. The identification performance using signal to distortion ratio value about 68.88% is achieved.

 

Keywords—EEG signal, Ocular Artifact, SOBI-RO

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