Multi-Branch Convolutional Neural Network for Automatic Sleep Stage Classification with Embedded Stage Refinement and Residual Attention Channel Fusion

Automatic sleep stage classification of multi-channel sleep signals can help clinicians efficiently evaluate an individual’s sleep quality and assist in diagnosing a possible sleep disorder. To obtain accurate sleep classification results, the processing flow of results from signal preprocessing and...

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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/PMC7698838/
https://www.ncbi.nlm.nih.gov/pubmed/33218040
http://dx.doi.org/10.3390/s20226592

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7698838/
https://www.ncbi.nlm.nih.gov/pubmed/33218040
http://dx.doi.org/10.3390/s20226592

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