An automatic algorithm for blink-artifact suppression based on iterative template matching: application to single channel recording of cortical auditory evoked potentials

Artifact reduction in electroencephalogram (EEG) signals is usually necessary to carry out data analysis appropriately. Despite the large amount of denoising techniques available with a multichannel setup, there is a lack of efficient algorithms that remove (not only detect) blink-artifacts from a s...

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Bibliographic Details

Published in:	Journal of neural engineering Vol. 15; no. 1; p. 016008
Main Authors:	Valderrama, Joaquin T, de la Torre, Angel, Van Dun, Bram
Format:	Journal Article
Language:	English
Published:	England 01.02.2018
ISSN:	1741-2552, 1741-2552
Online Access:	Get more information
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