Predicting Age From Brain EEG Signals—A Machine Learning Approach

Objective: The brain age gap estimate (BrainAGE) is the difference between the estimated age and the individual chronological age. BrainAGE was studied primarily using MRI techniques. EEG signals in combination with machine learning (ML) approaches were not commonly used for the human age prediction...

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Bibliographic Details
Main Authors: Obada Al Zoubi, Chung Ki Wong, Rayus T. Kuplicki, Hung-wen Yeh, Ahmad Mayeli, Hazem Refai, Martin Paulus, Jerzy Bodurka
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-07-01
Series:Frontiers in Aging Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fnagi.2018.00184/full