ADAPTIVE FILTERING OF OCULAR ARTEFACTS IN THE HUMAN EEGs.

The human Electroencephalogram (EEG) is often contaminated by ocular artefacts (OAs) associated with eye movement and/or blinks, and this can make the analysis and interpretation of EEG records difficult. For example, in the presence of OAs, records containing pathological slow waves may be difficult to interpret because of the similarity in shape between OAs and the waves. It is therefore helpful to remove the OAs so that the 'true' EEG can be analysed. This paper describes the application of adaptive filtering methods to the removal of ocular artefacts.