EOGNET: A Novel Deep Learning Model for Sleep Stage Classification Based on Single-Channel EOG Signal

In recent years, automatic sleep staging methods have achieved competitive performance using electroencephalography (EEG) signals. However, the acquisition of EEG signals is cumbersome and inconvenient. Therefore, we propose a novel sleep staging approach using electrooculogram (EOG) signals, which...

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Detalles Bibliográficos
Autores principales: Fan, Jiahao, Sun, Chenglu, Long, Meng, Chen, Chen, Chen, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8311494/
https://www.ncbi.nlm.nih.gov/pubmed/34321991
http://dx.doi.org/10.3389/fnins.2021.573194

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8311494/
https://www.ncbi.nlm.nih.gov/pubmed/34321991
http://dx.doi.org/10.3389/fnins.2021.573194

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