Open AccessNonlinear Dynamics Measures for Automated EEG-Based Sleep Stage Detection
Author(s) -
U. Rajendra Acharya,
Shreya Bhat,
Oliver Faust,
Hojjat Adeli,
Eric Chern Pin Chua,
Wei Jie Eugene Lim,
Joel En Wei Koh
Publication year - 2015
Publication title -
european neurology
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.573
H-Index - 77
eISSN - 1421-9913
pISSN - 0014-3022
DOI - 10.1159/000441975
Subject(s) - electroencephalography , discriminative model , sleep stages , pattern recognition (psychology) , sleep (system call) , artificial intelligence , nonlinear system , chaotic , feature (linguistics) , ranking (information retrieval) , computer science , psychology , polysomnography , neuroscience , physics , linguistics , philosophy , operating system , quantum mechanics
The brain's continuous neural activity during sleep can be monitored by electroencephalogram (EEG) signals. The EEG wave pattern and frequency vary during five stages of sleep. These subtle variations in sleep EEG signals cannot be easily detected through visual inspection.