Cargando…
A journey toward artificial intelligence-assisted automated sleep scoring
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...
| Autor principal: | |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8767306/ https://www.ncbi.nlm.nih.gov/pubmed/35079722 http://dx.doi.org/10.1016/j.patter.2021.100429 |