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Comparison of Automatic Sleep Stage Classification Methods for Clinical Use
Author(s) -
Alexei Labrada,
Elsa Santos Febles,
José Manuel Carrasco Antelo
Publication year - 2022
Publication title -
global clinical engineering journal
Language(s) - English
Resource type - Journals
ISSN - 2578-2762
DOI - 10.31354/globalce.v5i1.125
Subject(s) - computer science , artificial intelligence , machine learning , convolutional neural network , artificial neural network , support vector machine , random forest , automation , sleep (system call) , sleep stages , task (project management) , electrooculography , deep learning , electroencephalography , polysomnography , engineering , eye movement , medicine , mechanical engineering , systems engineering , psychiatry , operating system

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