Analysis and visualization of sleep stages based on deep neural networks

Automatic sleep stage scoring based on deep neural networks has come into focus of sleep researchers and physicians, as a reliable method able to objectively classify sleep stages would save human resources and simplify clinical routines. Due to novel open-source software libraries for machine learn...

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Detalles Bibliográficos
Autores principales: Krauss, Patrick, Metzner, Claus, Joshi, Nidhi, Schulze, Holger, Traxdorf, Maximilian, Maier, Andreas, Schilling, Achim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7973384/
https://www.ncbi.nlm.nih.gov/pubmed/33763623
http://dx.doi.org/10.1016/j.nbscr.2021.100064

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7973384/
https://www.ncbi.nlm.nih.gov/pubmed/33763623
http://dx.doi.org/10.1016/j.nbscr.2021.100064

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