Suppression of overlearning in independent component analysis used for removal of muscular artifacts from electroencephalographic records.

This paper addresses the overlearning problem in the independent component analysis (ICA) used for the removal of muscular artifacts from electroencephalographic (EEG) records. We note that for short EEG records with high number of channels the ICA fails to separate artifact-free EEG and muscular ar...

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Библиографические подробности
Главные авторы: Jan Sebek, Radoslav Bortel, Pavel Sovka
Формат: Artigo
Язык:Inglês
Опубликовано: Public Library of Science (PLoS) 2018-01-01
Серии:PLoS ONE
Online-ссылка:http://europepmc.org/articles/PMC6091961?pdf=render
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