Benchmarking performance of an automatic polysomnography scoring system in a population with suspected sleep disorders

AIM: The current gold standard for measuring sleep disorders is polysomnography (PSG), which is manually scored by a sleep technologist. Scoring a PSG is time-consuming and tedious, with substantial inter-rater variability. A deep-learning-based sleep analysis software module can perform autoscoring...

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Detalles Bibliográficos
Autores principales: Choo, Bryan Peide, Mok, Yingjuan, Oh, Hong Choon, Patanaik, Amiya, Kishan, Kishan, Awasthi, Animesh, Biju, Siddharth, Bhattacharjee, Soumya, Poh, Yvonne, Wong, Hang Siang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9981786/
https://www.ncbi.nlm.nih.gov/pubmed/36873452
http://dx.doi.org/10.3389/fneur.2023.1123935

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9981786/
https://www.ncbi.nlm.nih.gov/pubmed/36873452
http://dx.doi.org/10.3389/fneur.2023.1123935

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