Automatic classification of ICA components from infant EEG using MARA

• 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: Article
• Language: English
• Published: 2021
• Subjects: Social sciences::General; Artifact Correction; Deep Learning
• Online Access: https://hdl.handle.net/10356/153617
• Institution: Nanyang Technological University

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...