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...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2018-07-01
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Series: | Frontiers in Aging Neuroscience |
Subjects: | |
Online Access: | https://www.frontiersin.org/article/10.3389/fnagi.2018.00184/full |