Automatic and Accurate Sleep Stage Classification via a Convolutional Deep Neural Network and Nanomembrane Electrodes

Sleep stage classification is an essential process of diagnosing sleep disorders and related diseases. Automatic sleep stage classification using machine learning has been widely studied due to its higher efficiency compared with manual scoring. Typically, a few polysomnography data are selected as...

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Detalles Bibliográficos
Autores principales: Kwon, Kangkyu, Kwon, Shinjae, Yeo, Woon-Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8946692/
https://www.ncbi.nlm.nih.gov/pubmed/35323425
http://dx.doi.org/10.3390/bios12030155

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8946692/
https://www.ncbi.nlm.nih.gov/pubmed/35323425
http://dx.doi.org/10.3390/bios12030155

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