Journal article
A machine learning approach for distinguishing age of infants using auditory evoked potentials
Abstract
OBJECTIVE: To develop a high performance machine learning (ML) approach for predicting the age and consequently the state of brain development of infants, based on their event related potentials (ERPs) in response to an auditory stimulus.
METHODS: The ERP responses of twenty-nine 6-month-olds, nineteen 12-month-olds and 10 adults to an auditory stimulus were derived from electroencephalogram (EEG) recordings. The most relevant wavelet …
Authors
Ravan M; Reilly JP; Trainor LJ; Khodayari-Rostamabad A
Journal
Clinical Neurophysiology, Vol. 122, No. 11, pp. 2139–2150
Publisher
Elsevier
Publication Date
November 2011
DOI
10.1016/j.clinph.2011.04.002
ISSN
1388-2457