A Deep Transfer Learning Framework for Sleep Stage Classification with Single-Channel EEG Signals

The polysomnogram (PSG) is the gold standard for evaluating sleep quality and disorders. Attempts to automate this process have been hampered by the complexity of the PSG signals and heterogeneity among subjects and recording hardwares. Most of the existing methods for automatic sleep stage scoring...

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Detalles Bibliográficos
Autores principales: ElMoaqet, Hisham, Eid, Mohammad, Ryalat, Mutaz, Penzel, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9693852/
https://www.ncbi.nlm.nih.gov/pubmed/36433422
http://dx.doi.org/10.3390/s22228826

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9693852/
https://www.ncbi.nlm.nih.gov/pubmed/36433422
http://dx.doi.org/10.3390/s22228826

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