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An accessible and versatile deep learning-based sleep stage classifier

Manual sleep scoring for research purposes and for the diagnosis of sleep disorders is labor-intensive and often varies significantly between scorers, which has motivated many attempts to design automatic sleep stage classifiers. With the recent introduction of large, publicly available hand-scored...

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Detalles Bibliográficos
Autores principales: Hanna, Jevri, Flöel, Agnes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10017438/
https://www.ncbi.nlm.nih.gov/pubmed/36938361
http://dx.doi.org/10.3389/fninf.2023.1086634

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