Canonical Correlation Analysis Applied to Remove Muscle Artifacts From the Electroencephalogram

Abstract

The electroencephalogram (EEG) is often contaminated by muscle artifacts. In this paper, a new method for muscle artifact removal in EEG is presented, based on canonical correlation analysis (CCA) as a blind source separation (BSS) technique. This method is demonstrated on a synthetic data set. The method outperformed a low-pass filter with different cutoff… (More)
DOI: 10.1109/TBME.2006.879459

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