Automatic classification of ICA components from infant EEG using MARA

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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Bibliographic Details
Main Authors: Marriott Haresign, I., Phillips, E., Whitehorn, M., Noreika, V., Jones, Emma-Jane, Leong, Victoria, Wass, S. V.
Other Authors: School of Social Sciences
Format: Journal Article
Language:English
Published: 2021
Subjects:
Social sciences::General
Artifact Correction
Deep Learning
Online Access:https://hdl.handle.net/10356/153617

Internet

https://hdl.handle.net/10356/153617

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