SleepEEGNet: Automated sleep stage scoring with sequence to sequence deep learning approach

Electroencephalogram (EEG) is a common base signal used to monitor brain activities and diagnose sleep disorders. Manual sleep stage scoring is a time-consuming task for sleep experts and is limited by inter-rater reliability. In this paper, we propose an automatic sleep stage annotation method call...

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Detalles Bibliográficos
Autores principales: Mousavi, Sajad, Afghah, Fatemeh, Acharya, U. Rajendra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6504038/
https://www.ncbi.nlm.nih.gov/pubmed/31063501
http://dx.doi.org/10.1371/journal.pone.0216456

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6504038/
https://www.ncbi.nlm.nih.gov/pubmed/31063501
http://dx.doi.org/10.1371/journal.pone.0216456

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