An optimized framework for processing multicentric polysomnographic data incorporating expert human oversight
IntroductionPolysomnographic recordings are essential for diagnosing many sleep disorders, yet their detailed analysis presents considerable challenges. With the rise of machine learning methodologies, researchers have created various algorithms to automatically score and extract clinically relevant...
Guardado en:
| Autores principales: | , , , , , , , , |
|---|---|
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Frontiers Media S.A.
2024-05-01
|
| Colección: | Frontiers in Neuroinformatics |
| Materias: | |
| Acceso en línea: | https://www.frontiersin.org/articles/10.3389/fninf.2024.1379932/full |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|