A hybrid self-attention deep learning framework for multivariate sleep stage classification

BACKGROUND: Sleep is a complex and dynamic biological process characterized by different sleep patterns. Comprehensive sleep monitoring and analysis using multivariate polysomnography (PSG) records has achieved significant efforts to prevent sleep-related disorders. To alleviate the time consumption...

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Detalles Bibliográficos
Autores principales: Yuan, Ye, Jia, Kebin, Ma, Fenglong, Xun, Guangxu, Wang, Yaqing, Su, Lu, Zhang, Aidong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6886163/
https://www.ncbi.nlm.nih.gov/pubmed/31787093
http://dx.doi.org/10.1186/s12859-019-3075-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6886163/
https://www.ncbi.nlm.nih.gov/pubmed/31787093
http://dx.doi.org/10.1186/s12859-019-3075-z

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