A deep transfer learning approach for wearable sleep stage classification with photoplethysmography

Unobtrusive home sleep monitoring using wrist-worn wearable photoplethysmography (PPG) could open the way for better sleep disorder screening and health monitoring. However, PPG is rarely included in large sleep studies with gold-standard sleep annotation from polysomnography. Therefore, training da...

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Detalles Bibliográficos
Autores principales: Radha, Mustafa, Fonseca, Pedro, Moreau, Arnaud, Ross, Marco, Cerny, Andreas, Anderer, Peter, Long, Xi, Aarts, Ronald M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8443610/
https://www.ncbi.nlm.nih.gov/pubmed/34526643
http://dx.doi.org/10.1038/s41746-021-00510-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8443610/
https://www.ncbi.nlm.nih.gov/pubmed/34526643
http://dx.doi.org/10.1038/s41746-021-00510-8

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