Achieving Accurate Automatic Sleep Staging on Manually Pre-processed EEG Data Through Synchronization Feature Extraction and Graph Metrics-Reference-Cited by-同舟云学术

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Achieving Accurate Automatic Sleep Staging on Manually Pre-processed EEG Data Through Synchronization Feature Extraction and Graph Metrics

Published:2018-03-23 Issue: Volume:12 Page:
ISSN:1662-5161
Container-title:Frontiers in Human Neuroscience
language:
Short-container-title:Front. Hum. Neurosci.

Author:

Chriskos Panteleimon,Frantzidis Christos A.,Gkivogkli Polyxeni T.,Bamidis Panagiotis D.,Kourtidou-Papadeli Chrysoula

Publisher

Frontiers Media SA

Subject

Behavioral Neuroscience,Biological Psychiatry,Psychiatry and Mental health,Neurology,Neuropsychology and Physiological Psychology

Reference44 articles.

1. Global field synchronization reveals rapid eye movement sleep as most synchronized brain state in the human EEG;Achermann;R. Soc. Open Sci.,2016

2. Computer-assisted sleep staging;Agarwal;IEEE Trans. Biomed. Eng.,2001

3. Automatic classification of sleep stages based on the time-frequency image of EEG signals;Bajaj;Comput. Methods Programs Biomed.,2013

4. Multicenter data sharing for collaboration in sleep medicine;Beier;Future Gener. Comput. Syst.,2017

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