U-Sleep: resilient high-frequency sleep staging
Abstract Sleep disorders affect a large portion of the global population and are strong predictors of morbidity and all-cause mortality. Sleep staging segments a period of sleep into a sequence of phases providing the basis for most clinical decisions in sleep medicine. Manual sleep staging is diffi...
Guardado en:
Autores principales: | Mathias Perslev, Sune Darkner, Lykke Kempfner, Miki Nikolic, Poul Jørgen Jennum, Christian Igel |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/811421ee6cdd4be085436194bdcb2666 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
The future of sleep health: a data-driven revolution in sleep science and medicine
por: Ignacio Perez-Pozuelo, et al.
Publicado: (2020) -
Deep learning for automated sleep staging using instantaneous heart rate
por: Niranjan Sridhar, et al.
Publicado: (2020) -
Development of an IoT-Based Sleep Apnea Monitoring System for Healthcare Applications
por: Abdur Rab Dhruba, et al.
Publicado: (2021) -
A deep transfer learning approach for wearable sleep stage classification with photoplethysmography
por: Mustafa Radha, et al.
Publicado: (2021) -
The effects of seasons and weather on sleep patterns measured through longitudinal multimodal sensing
por: Stephen M. Mattingly, et al.
Publicado: (2021)