Validation Study on Automated Sleep Stage Scoring Using a Deep Learning Algorithm †

Background and Objectives: Polysomnography is manually scored by sleep experts. However, manual scoring is a time-consuming and labor-intensive task. The goal of this study was to verify the accuracy of automated sleep-stage scoring based on a deep learning algorithm compared to manual sleep-stage s...

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Detalles Bibliográficos
Autores principales: Cho, Jae Hoon, Choi, Ji Ho, Moon, Ji Eun, Lee, Young Jun, Lee, Ho Dong, Ha, Tae Kyoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9228793/
https://www.ncbi.nlm.nih.gov/pubmed/35744042
http://dx.doi.org/10.3390/medicina58060779

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9228793/
https://www.ncbi.nlm.nih.gov/pubmed/35744042
http://dx.doi.org/10.3390/medicina58060779

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