Scoring sleep with artificial intelligence enables quantification of sleep stage ambiguity: hypnodensity based on multiple expert scorers and auto-scoring

STUDY OBJECTIVES: To quantify the amount of sleep stage ambiguity across expert scorers and to validate a new auto-scoring platform against sleep staging performed by multiple scorers. METHODS: We applied a new auto-scoring system to three datasets containing 95 PSGs scored by 6–12 scorers, to compa...

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Detalles Bibliográficos
Autores principales: Bakker, Jessie P, Ross, Marco, Cerny, Andreas, Vasko, Ray, Shaw, Edmund, Kuna, Samuel, Magalang, Ulysses J, Punjabi, Naresh M, Anderer, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Basic Science of Sleep and Circadian Rhythms
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9905781/
https://www.ncbi.nlm.nih.gov/pubmed/35780449
http://dx.doi.org/10.1093/sleep/zsac154

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9905781/
https://www.ncbi.nlm.nih.gov/pubmed/35780449
http://dx.doi.org/10.1093/sleep/zsac154

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