Fast Sleep Stage Classification Using Cascaded Support Vector Machines with Single-Channel EEG Signals

Long-term sleep stage monitoring is very important for the diagnosis and treatment of insomnia. With the development of wearable electroencephalogram (EEG) devices, we developed a fast and accurate sleep stage classification method in this study with single-channel EEG signals for practical applicat...

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Detalles Bibliográficos
Autores principales: Li, Dezhao, Ruan, Yangtao, Zheng, Fufu, Su, Yan, Lin, Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9784858/
https://www.ncbi.nlm.nih.gov/pubmed/36560286
http://dx.doi.org/10.3390/s22249914

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9784858/
https://www.ncbi.nlm.nih.gov/pubmed/36560286
http://dx.doi.org/10.3390/s22249914

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