机译:使用Suboch功能的跨跨和间隔时间上下文网络(IITNET)在原始单通道EEG上使用子时代特征进行自动睡眠评分
Korea Atom Energy Res Inst 111 Daedeok Daero 989 Beon Gil Daejeon 34057 South Korea;
Gwangju Inst Sci & Technol GIST Sch Integrated Technol SIT Cheomdan Gwagiro 123 Gwangju 61005 South Korea;
Gwangju Inst Sci & Technol GIST Sch Integrated Technol SIT Cheomdan Gwagiro 123 Gwangju 61005 South Korea;
Gwangju Inst Sci & Technol GIST Sch Integrated Technol SIT Cheomdan Gwagiro 123 Gwangju 61005 South Korea;
Gwangju Inst Sci & Technol GIST Dept Biomed Sci & Engn Cheomdan Gwagiro 123 Gwangju 61005 South Korea|Gwangju Inst Sci & Technol GIST Sch Life Sci Cheomdan Gwagiro 123 Gwangju 61005 South Korea;
Gwangju Inst Sci & Technol GIST Sch Integrated Technol SIT Cheomdan Gwagiro 123 Gwangju 61005 South Korea;
Deep learning; Classification; Single-channel EEG; Sleep scoring; Sequence; Temporal context; End-to-end;
机译:DeepSleepNet:基于原始单通道脑电图的自动睡眠阶段评分模型
机译:利用卷积神经网络从原始单通道脑电图进行睡眠阶段评分
机译:基于隐马尔可夫模型的基于自动单通道eEG的睡眠阶段评分方法
机译:HNSLEEPNET:具有原始单通道脑电图的家庭保健自动睡眠分段的新型混合神经网络
机译:CCRRSLEEPNET:RAW单通道脑电图对自动睡眠阶段分类的混合关系感应偏置网络
机译:DeepsleepNet:一种基于Raw的自动睡眠阶段评分模型 单通道脑电图