01706nas a2200145   4500008004100000020002200041245006000063210005800123260006100181520118300242100001701425700002601442700002101468856007101489       2006                        eng d  a978-0-86341-658-300aDe-noising epileptic EEG using ICA and phase synchrony.0 aDenoising epileptic EEG using ICA and phase synchrony  aGlasgow, ScotlandbIET, Curran Associates, Inc.c07/20063 aA multi-channel recording of scalp electroencephalogram (EEG) is a non-invasive tool important for analysis and treatment of patients with epilepsy. These recordings are usually contaminated with artifacts and background activity, which may sometimes render them misleading or useless. Epileptic EEG is also useful for seizure detection, localisation and prediction. It would be useful to de-noise epileptic EEG in order to improve the efficiency of such diagnostic and prognostic procedures. The basic method of denoising a signal is through filtering, but filtering physiological signals is not trivial and highly subjective as the information is spread over different frequency bands and different measurement channels. This paper demonstrates a system for objectively de-noising epileptic EEG using Independent Component Analysis (ICA). In the standard implementation of ICA it is generally required to subjectively choose independent components (ICs) relevant to the epileptic activity; here we automate this process through the concept of phase synchronisation between ICs. In this manner de-noising the epileptic EEG with ICA becomes an objective (and automated) process.1 aGupta, Disha1 aJames, Christopher, J1 aGray, William, P  uhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4225235