Deep Learning Application to Clinical Decision Support System in Sleep Stage Classification

Recently, deep learning for automated sleep stage classification has been introduced with promising results. However, as many challenges impede their routine application, automatic sleep scoring algorithms are not widely used. Typically, polysomnography (PSG) uses multiple channels for higher accura...

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Detalles Bibliográficos
Autores principales: Kim, Dongyoung, Lee, Jeonggun, Woo, Yunhee, Jeong, Jaemin, Kim, Chulho, Kim, Dong-Kyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8880374/
https://www.ncbi.nlm.nih.gov/pubmed/35207623
http://dx.doi.org/10.3390/jpm12020136

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8880374/
https://www.ncbi.nlm.nih.gov/pubmed/35207623
http://dx.doi.org/10.3390/jpm12020136

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