A Toolbox and Crowdsourcing Platform for Automatic Labeling of Independent Components in Electroencephalography

Independent Component Analysis (ICA) is a conventional approach to exclude non-brain signals such as eye movements and muscle artifacts from electroencephalography (EEG). A rejection of independent components (ICs) is usually performed in semiautomatic mode and requires experts’ involvement. As also...

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Autores principales: Gurgen Soghoyan, Alexander Ledovsky, Maxim Nekrashevich, Olga Martynova, Irina Polikanova, Galina Portnova, Anna Rebreikina, Olga Sysoeva, Maxim Sharaev
Formato: article
Lenguaje:EN
Publicado: Frontiers Media S.A. 2021
Materias:
EEG
ICA
Acceso en línea:https://doaj.org/article/9d25f5e1329440c78e8fc7e2d97a4dd4
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