Multi-dimensional PARAFAC2 component analysis of multi-channel EEG data including temporal tracking

Abstract

The identification of signal components in electroencephalographic (EEG) data originating from neural activities is a long standing problem in neuroscience. This area has regained new attention due to the possibilities of multi-dimensional signal processing. In this work we analyze measured visual-evoked potentials on the basis of the time-varying spectrum… (More)
DOI: 10.1109/IEMBS.2010.5626484

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