Quantitative Evaluation of EEG-Biomarkers for Prediction of Sleep Stages

Electroencephalography (EEG) is immediate and sensitive to neurological changes resulting from sleep stages and is considered a computing tool for understanding the association between neurological outcomes and sleep stages. EEG is expected to be an efficient approach for sleep stage prediction outs...

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Bibliographic Details

Published in:	Sensors
Main Authors:	Iqram Hussain, Md Azam Hossain, Rafsan Jany, Md Abdul Bari, Musfik Uddin, Abu Raihan Mostafa Kamal, Yunseo Ku, Jik-Soo Kim
Format:	Article
Language:	English
Published:	MDPI AG 2022-04-01
Subjects:	electroencephalogram sleep stages physiological biomarker neuroscience polysomnography machine-learning
Online Access:	https://www.mdpi.com/1424-8220/22/8/3079