A novel method for automated classification of epileptiform activity in the human electroencephalogram-based on independent component analysis.

Diagnosis of several neurological disorders is based on the detection of typical pathological patterns in the electroencephalogram (EEG). This is a time-consuming task requiring significant training and experience. Automatic detection of these EEG patterns would greatly assist in quantitative analys...

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Bibliographic Details

Published in:	Medical & Biological Engineering & Computing Vol. 46; no. 3; pp. 263 - 273
Main Authors:	De Lucia M, Fritschy J, Dayan P, Holder DS, De Lucia, Marzia, Fritschy, Juan, Dayan, Peter, Holder, David S
Format:	research Journal Article
Published:	Springer Nature Mar2008
Online Access:	View this record in EBSCOhost