A novel approach to automatic sleep stage classification using forehead electrophysiological signals.

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第一作者： Hengyan,Guo

第一单位： Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.

作者： Hengyan,Guo ^[1] ; Yang,Di ^[1] ; Xingwei,An ^[2] ; Zhongpeng,Wang ^[3] ; Dong,Ming ^[4]

作者单位： Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China. ^[1] Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.;TianJin Center for Brain Science, Tianjin, China. ^[2] Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China.;TianJin Center for Brain Science, Tianjin, China. ^[3] Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.;Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China.;TianJin Center for Brain Science, Tianjin, China. ^[4]

关键词 Discrete wavelet transform (DWT)Electrooculogram (EOG)Forehead electrophysiological signal Light gradient boosting machine (LGB)Sleep stages

DOI 10.1016/j.heliyon.2022.e12136

PMID 36590566

发布时间 2023-01-03

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Heliyon

2022年8卷12期

e12136页

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A novel approach to automatic sleep stage classification using forehead electrophysiological signals.

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A novel approach to automatic sleep stage classification using forehead electrophysiological signals.

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