Multi-Layer Graph Attention Network for Sleep Stage Classification Based on EEG

Graph neural networks have been successfully applied to sleep stage classification, but there are still challenges: (1) How to effectively utilize epoch information of EEG-adjacent channels owing to their different interaction effects. (2) How to extract the most representative features according to...

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Detalles Bibliográficos
Autores principales: Wang, Qi, Guo, Yecai, Shen, Yuhui, Tong, Shuang, Guo, Hongcan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9735886/
https://www.ncbi.nlm.nih.gov/pubmed/36501974
http://dx.doi.org/10.3390/s22239272

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9735886/
https://www.ncbi.nlm.nih.gov/pubmed/36501974
http://dx.doi.org/10.3390/s22239272

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