A novel approach to automatic sleep stage classification using forehead electrophysiological signals

BACKGROUND: Sleep stage scoring is very important for the effective diagnosis and intervention of sleep disorders. However, the current automatic sleep staging methods generally have the problems of poor model generalization ability and non-portable acquisition equipment. METHOD: In this paper, we p...

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Detalles Bibliográficos
Autores principales: Guo, Hengyan, Di, Yang, An, Xingwei, Wang, Zhongpeng, Ming, Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798185/
https://www.ncbi.nlm.nih.gov/pubmed/36590566
http://dx.doi.org/10.1016/j.heliyon.2022.e12136

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798185/
https://www.ncbi.nlm.nih.gov/pubmed/36590566
http://dx.doi.org/10.1016/j.heliyon.2022.e12136

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