Data fusion for paroxysmal events’ classification from EEG
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DOI: 10.1016/j.jneumeth.2016.10.004
Abstract: BACKGROUND Spatiotemporal analysis of electroencephalography is commonly used for classification of events since it allows capturing dependencies across channels. The significant increase of feature vector dimensionality however introduce noise and thus it does not allow… read more here.
Keywords: data fusion; fusion paroxysmal; classification; paroxysmal events ... See more keywords