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

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...

Olles dieđut

Bibliográfalaš dieđut
Váldodahkkit: Qi Wang, Yecai Guo, Yuhui Shen, Shuang Tong, Hongcan Guo
Materiálatiipa: Artihkal
Giella:English
Almmustuhtton: MDPI AG 2022-11-01
Ráidu:Sensors
Fáttát:
graph attention network
gated recurrent unit
node-level and stage-level attention
sleep staging
transitional stage estimator
Liŋkkat:https://www.mdpi.com/1424-8220/22/23/9272

Interneahtta

https://www.mdpi.com/1424-8220/22/23/9272

Geahča maid