![]() ![]() Our adapted classifier significantly outperformed the original adult classifier on samples of naturalistic free play EEG data recorded from 10 to 12-month-old infants, achieving agreement rates with the manual classification of over 75% across two validation studies (n = 44, n = 25). Here, we adapt one of the most popular systems for adult ICA component classification for use with infant EEG data. 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 paediatric populations. and Wass, S.Īutomated systems for identifying and removing non-neural ICA components are growing in popularity among EEG researchers of adult populations. Marriott Haresign, I., Phillips, E., Whitehorn, M., Noreika, V., Jones, E. ![]()
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