A journey toward artificial intelligence-assisted automated sleep scoring.
Patterns (N Y)
; 3(1): 100429, 2022 Jan 14.
Article
en En
| MEDLINE
| ID: mdl-35079722
Sleep scoring is a tedious, time-consuming process that presents a huge challenge in clinics. Leveraging the state-of-the-art U-net architecture, Zhang et al. developed a deep learning algorithm to simultaneously annotate basic and pathologic sleep stages. This model can analyze a full-length sleep record in a few seconds with high accuracy.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Tipo de estudio:
Prognostic_studies
Idioma:
En
Revista:
Patterns (N Y)
Año:
2022
Tipo del documento:
Article
País de afiliación:
Estados Unidos
Pais de publicación:
Estados Unidos