Convolution- and Attention-Based Neural Network for Automated Sleep Stage Classification

Analyzing polysomnography (PSG) is an effective method for evaluating sleep health; however, the sleep stage scoring required for PSG analysis is a time-consuming effort for an experienced medical expert. When scoring sleep epochs, experts pay attention to find specific signal characteristics (e.g.,...

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Detalles Bibliográficos
Autores principales: Zhu, Tianqi, Luo, Wei, Yu, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7313068/
https://www.ncbi.nlm.nih.gov/pubmed/32532084
http://dx.doi.org/10.3390/ijerph17114152

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7313068/
https://www.ncbi.nlm.nih.gov/pubmed/32532084
http://dx.doi.org/10.3390/ijerph17114152

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