A Graph-Temporal fused dual-input Convolutional Neural Network for Detecting Sleep Stages from EEG Signals

Cai, QingGao, ZhongkeAn, JianpengGao, ShuangGrebogi, Celso2021-08-042021-08-042021-02Cai, Q, Gao, Z, An, J, Gao, S & Grebogi, C 2021, 'A Graph-Temporal fused dual-input Convolutional Neural Network for Detecting Sleep Stages from EEG Signals', IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 68, no. 2, pp. 777-781. https://doi.org/10.1109/TCSII.2020.30145141558-3791ORCID: /0000-0002-9811-4617/work/107062059https://hdl.handle.net/2164/16915This work was supported by the National Natural Science Foundation of China under Grant Nos. 61922062, and 61873181.56277656engSleep stage detectionLimited Penetrable Visibility Graph(LPVG)Complex networkelectroencephalogram (EEG)Convolutional neural network (CNN)limited Penetrable visibility graph(LPVG)convolutional neural network (CNN)complex networkCircuits and systemsElectroencephalographyConvolutionSleepComplex networksFeature extractionConvolutional neural networksQC PhysicsElectrical and Electronic EngineeringQCA Graph-Temporal fused dual-input Convolutional Neural Network for Detecting Sleep Stages from EEG SignalsJournal article10.1109/TCSII.2020.3014514https://www.scopus.com/pages/publications/85093916747