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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Detalles Bibliográficos
Autores principales: Soghoyan, Gurgen, Ledovsky, Alexander, Nekrashevich, Maxim, Martynova, Olga, Polikanova, Irina, Portnova, Galina, Rebreikina, Anna, Sysoeva, Olga, Sharaev, Maxim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8675888/
https://www.ncbi.nlm.nih.gov/pubmed/34924988
http://dx.doi.org/10.3389/fninf.2021.720229

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8675888/
https://www.ncbi.nlm.nih.gov/pubmed/34924988
http://dx.doi.org/10.3389/fninf.2021.720229

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