Predicting Age From Brain EEG Signals—A Machine Learning Approach-Reference-Cited by-同舟云学术

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Predicting Age From Brain EEG Signals—A Machine Learning Approach

Published:2018-07-02 Issue: Volume:10 Page:
ISSN:1663-4365
Container-title:Frontiers in Aging Neuroscience
language:
Short-container-title:Front. Aging Neurosci.

Author:

Al Zoubi Obada,Ki Wong Chung,Kuplicki Rayus T.,Yeh Hung-wen,Mayeli Ahmad,Refai Hazem,Paulus Martin,Bodurka Jerzy

Funder

U.S. Department of Defense

National Institute of General Medical Sciences

Publisher

Frontiers Media SA

Subject

Cognitive Neuroscience,Ageing

Reference46 articles.

1. A method for removing imaging artifact from continuous EEG recorded during functional MRI;Allen;Neuroimage,2000

2. Anytime multipurpose emotion recognition from EEG data using a liquid state machine based framework;Al Zoubi;Artif. Intell. Med,2018

3. A fast diffeomorphic image registration algorithm;Ashburner;Neuroimage,2007

4. Sources of cortical rhythms in adults during physiological aging: a multicentric EEG study;Babiloni;Hum. Brain Mapp.,2006

5. Classification of single normal and Alzheimer's disease individuals from cortical sources of resting state EEG rhythms;Babiloni;Front. Neurosci.,2016

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