New online method for removing ocular artefacts from EEG signals
A method for online removal of ocular artefacts from the human electroencephalogram (EEG) is described. It uses numerically stable algorithms based on the efficient recursive least squares algorithm. The method is shown to give similar results to its offline equivalents from which it has been developed. Compared with the present online methods our approach is superior, requiring no subjective manual adjustment and processing all signals digitally. An automatic online microcomputer based ocular artefact remover has been built and successfully tested.
Medical and Biological Engineering and Computing