| Literature DB >> 33017770 |
Panteleimon Chriskos1, Christos A Frantzidis2, Christiane M Nday1, Polyxeni T Gkivogkli2, Panagiotis D Bamidis3, Chrysoula Kourtidou-Papadeli4.
Abstract
Sleep staging is a vital process conducted in order to analyze polysomnographic data. To facilitate prompt interpretation of these recordings, many automatic sleep staging methods have been proposed. These methods rely on bio-signal recordings, which include electroencephalography, electrocardiography, electromyography, electrooculography, respiratory, pulse oximetry and others. However, advanced, uncomplicated and swift sleep-staging-evaluation is still needed in order to improve the existing polysomnographic data interpretation. The present review focuses on automatic sleep staging methods through bio-signal recording including current and future challenges.Keywords: Automatic staging techniques; Bio-signals; Feature extraction methods; Pre-processing; Sleep; Sleep datasets; Sleep staging rules
Year: 2020 PMID: 33017770 DOI: 10.1016/j.smrv.2020.101377
Source DB: PubMed Journal: Sleep Med Rev ISSN: 1087-0792 Impact factor: 11.609