Wavelet-ICA methodology for efficient artifact removal from Electroencephalographic recordings

Abstract

Electroencephalographic (EEG) recordings are often contaminated by the artifacts, signals that have non-cerebral origin and that might mimic cognitive or pathologic activity and therefore distort the analysis of EEG. In this paper the issue of artifact extraction from Electroencephalographic data is addressed and a new technique for EEG artifact removal… (More)
DOI: 10.1109/IJCNN.2007.4371184

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