Automatic classification of ICA components from infant EEG using MARA

Automated systems for identifying and removing non-neural ICA components are growing in popularity among EEG researchers of adult populations. Infant EEG data differs in many ways from adult EEG data, but there exists almost no specific system for automated classification of source components from p...

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Detalles Bibliográficos
Autores principales: Marriott Haresign, I., Phillips, E., Whitehorn, M., Noreika, V., Jones, E.J.H., Leong, V., Wass, S.V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8556604/
https://www.ncbi.nlm.nih.gov/pubmed/34715619
http://dx.doi.org/10.1016/j.dcn.2021.101024

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8556604/
https://www.ncbi.nlm.nih.gov/pubmed/34715619
http://dx.doi.org/10.1016/j.dcn.2021.101024

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