A spatial-temporal decomposition of the EEG : derivation, validation and clinical application
A novel method for the decomposition of the EEG into its constituent parts, the Short Epoch Dominant Activity Clustering Algorithm (SEDACA), is described along with its validation and clinical application. The method’s derivation, from its roots in a simple eye-correction technique, to the final alg...
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University College London (University of London)
2013
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.626293 |