Automated sleep staging algorithms: have we reached the performance limit due to manual scoring?
Sleep
.
2022 Sep 8;45(9):zsac159.
doi: 10.1093/sleep/zsac159.
Authors
Philip de Chazal
1
2
,
Diego R Mazzotti
3
4
,
Peter A Cistulli
1
5
6
Affiliations
1
Sleep Research Group, Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia.
2
School of Biomedical Engineering, The University of Sydney, Sydney, NSW, Australia.
3
Division of Medical Informatics, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, USA.
4
Division of Pulmonary Critical Care and Sleep Medicine, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, USA.
5
Faculty of Medicine and Health, Northern Clinical School, The University of Sydney, Sydney, NSW, Australia.
6
Department of Respiratory Medicine, Centre for Sleep Health and Research, Royal North Shore Hospital, Sydney, NSW, Australia.
PMID:
35866932
PMCID:
PMC9453612
DOI:
10.1093/sleep/zsac159
No abstract available
Publication types
Editorial
Comment
MeSH terms
Algorithms*
Electroencephalography
Polysomnography
Sleep
Sleep Stages*