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A Novel Sleep Staging Network Based on Data Adaptation and Multimodal Fusion.

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资源类型：
WOS体系：
Pubmed体系：

收录情况： ◇ SCIE

作者：
Duan Lijuan[1,2,3] * ; Li Mengying[1,2,3] ; Wang Changming[4,5] ; Qiao Yuanhua[6] ; Wang Zeyu[1,2,3] ; Sha Sha[7] ; Li Mingai[8] ;
机构： [1]Faculty of Information Technology, Beijing University of Technology, Beijing, China, [2]Beijing Key Laboratory of Trusted Computing, Beijing, China, [3]National Engineering Laboratory for Critical Technologies of Information Security Classified Protection, Beijing, China, [4]Brain-Inspired Intelligence and Clinical Translational Research Center, Beijing, China, [5]Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China, [6]College of Applied Sciences, Beijing University of Technology, Beijing, China, [7]Beijing Anding Hospital, Capital Medical University, Beijing, China, [8]Faculty of Information Technology, Beijing University of Technology, Beijing, China
出处：
DOI： 10.3389/fnhum.2021.727139
ISSN：

关键词： deep learning HHT sleep stage classification multimodal physiological signals fusion networks

摘要：
Sleep staging is one of the important methods to diagnosis and treatment of sleep diseases. However, it is laborious and time-consuming, therefore, computer assisted sleep staging is necessary. Most of the existing sleep staging researches using hand-engineered features rely on prior knowledges of sleep analysis, and usually single channel electroencephalogram (EEG) is used for sleep staging task. Prior knowledge is not always available, and single channel EEG signal cannot fully represent the patient's sleeping physiological states. To tackle the above two problems, we propose an automatic sleep staging network model based on data adaptation and multimodal feature fusion using EEG and electrooculogram (EOG) signals. 3D-CNN is used to extract the time-frequency features of EEG at different time scales, and LSTM is used to learn the frequency evolution of EOG. The nonlinear relationship between the High-layer features of EEG and EOG is fitted by deep probabilistic network. Experiments on SLEEP-EDF and a private dataset show that the proposed model achieves state-of-the-art performance. Moreover, the prediction result is in accordance with that from the expert diagnosis.Copyright © 2021 Duan, Li, Wang, Qiao, Wang, Sha and Li.

基金：
National Natural Science Foundation of China (Nos. 61672070 and 62173010), the Beijing Municipal Education Commission Project (No. KZ201910005008), the Beijing Municipal Natural Science Foundation (Nos. 4202025 and 4192005), and Beijing Municipal Administration of Hospitals Incubating Program (No. PX2018063).

基金编号： s.61672070and62173010 KZ201910005008 s.4202025and4192005 PX2018063

语种：
外文
被引次数：
WOS：
PubmedID：
中科院(CAS)分区：
出版当年[2020]版：
大类 | 3 区 医学
小类 | 3 区 心理学 4 区 神经科学
最新[2023]版：
大类 | 3 区 医学
小类 | 3 区 神经科学 3 区 心理学
JCR分区：
出版当年[2019]版：
Q2 PSYCHOLOGY Q3 NEUROSCIENCES
最新[2023]版：
Q2 PSYCHOLOGY Q3 NEUROSCIENCES

影响因子： 最新[2023版] 最新五年平均 出版当年[2019版] 出版当年五年平均 出版前一年[2018版] 出版后一年[2020版]

第一作者：
第一作者机构： [1]Faculty of Information Technology, Beijing University of Technology, Beijing, China, [2]Beijing Key Laboratory of Trusted Computing, Beijing, China, [3]National Engineering Laboratory for Critical Technologies of Information Security Classified Protection, Beijing, China,
通讯作者：
通讯机构： [1]Faculty of Information Technology, Beijing University of Technology, Beijing, China, [2]Beijing Key Laboratory of Trusted Computing, Beijing, China, [3]National Engineering Laboratory for Critical Technologies of Information Security Classified Protection, Beijing, China, [4]Brain-Inspired Intelligence and Clinical Translational Research Center, Beijing, China, [5]Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China,
推荐引用方式(GB/T 7714)：
Duan Lijuan,Li Mengying,Wang Changming,et al.A Novel Sleep Staging Network Based on Data Adaptation and Multimodal Fusion.[J].FRONTIERS IN HUMAN NEUROSCIENCE.2021,15:doi:10.3389/fnhum.2021.727139.
APA：
Duan Lijuan,Li Mengying,Wang Changming,Qiao Yuanhua,Wang Zeyu...&Li Mingai.(2021).A Novel Sleep Staging Network Based on Data Adaptation and Multimodal Fusion..FRONTIERS IN HUMAN NEUROSCIENCE,15,
MLA：
Duan Lijuan,et al."A Novel Sleep Staging Network Based on Data Adaptation and Multimodal Fusion.".FRONTIERS IN HUMAN NEUROSCIENCE 15.(2021)

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