Evaluating the efficacy of fully automated approaches for the selection of eyeblink ICA components.
Sign Up to like & getrecommendations! Published in 2017 at "Psychophysiology"
DOI: 10.1111/psyp.12827
Abstract: Independent component analysis (ICA) offers a powerful approach for the isolation and removal of eyeblink artifacts from EEG signals. Manual identification of the eyeblink ICA component by inspection of scalp map projections, however, is prone… read more here.
Keywords: related ica; component; selection; automated approaches ... See more keywords