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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Bibliographic Details
Main Authors: Jevri Hanna, Agnes Flöel
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-03-01
Series:Frontiers in Neuroinformatics
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fninf.2023.1086634/full