Ocular Artifact Suppression in Single Trial EEG Using DWT-Combined ANC

Artifacts are variations in the desired signal due to other external phenomenon. Major contributors of EEG artifacts are eye movement-related artifacts. As this signal propagates over the scalp, it appears in the recorded electroencephalogram (EEG) as noise that presents serious problems in EEG interpretation and analysis. Hence, preprocessing is required before any further analysis. This paper reports on effective ocular artifact suppression using discrete wavelet transform (DWT)-combined recursive least square (RLS) adaptive noise canceller (ANC) by comparing the mean square error (MSE) and artifact-to-signal ratio (ASR) metrics for the signal obtained in the fronto-polar region where the ocular artifact is dominant.