Paper Presentation & Seminar Topics: Adaptive Filtering of ocular artifacts from human EEG.

Adaptive Filtering of ocular artifacts from human EEG.

Abstract : (seminar) In this paper the removal of ocular artifacts from the human EEG is discussed .The EEG, like all biomedical signals is very susceptible to a variety of large signal contaminations or artifacts which reduce its clinical usefulness. Ocular artifacts are a major source of difficulty in distinguishing the normal brain activities from abnormal ones. The similarity between the OAs and signals of clinical interest also makes it difficult to automate the analysis of the EEG by computer. In general neurological disorders often manifest themselves in the EEG as slow waves which unfortunately not only appear similar to OAs but share the same frequency bands as OAs. In this paper, ocular artifacts are removed by employing adaptive filter which implements UD factorization algorithm. Using adaptive filter, the estimates of OAs are obtained by scaling the EOGs. The OA estimates are then subtracted from the contaminated EEGs to yield ‘artefact-free’
EEg signals.