A hybrid self-attention deep learning framework for multivariate sleep stage classification

被引：0
作者：
Ye Yuan
Kebin Jia
Fenglong Ma
Guangxu Xun
Yaqing Wang
Lu Su
Aidong Zhang
机构：
[1] College of Information and Communication Engineering,
[2] Beijing University of Technology,undefined
[3] Beijing Laboratory of Advanced Information Networks,undefined
[4] Beijing Key Laboratory of Computational Intelligence and Intelligent System,undefined
[5] Beijing University of Technology,undefined
[6] Department of Computer Science and Engineering,undefined
[7] State University of New York at Buffalo,undefined
[8] Department of Computer Science,undefined
[9] University of Virginia,undefined
来源：
BMC Bioinformatics | / 20卷
关键词：
Attention mechanism; Deep learning; Sleep stage classification; Polysomnography; Multivariate time series;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
[41]   LEARNING HIERARCHICAL SELF-ATTENTION FOR VIDEO SUMMARIZATION [J].
Liu, Yen-Ting ;
Li, Yu-Jhe ;
Yang, Fu-En ;
Chen, Shang-Fu ;
Wang, Yu-Chiang Frank .
2019 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2019, :3377-3381
[42]   Oral Cancer Classification Using a Hybrid Attention-Aided Deep Learning Model [J].
Dutta, Srinjan ;
Roy, Jibesh ;
Mandal, Diptarka ;
Kaplun, Dmitrii ;
Shpakovskaya, Irina ;
Sarkar, Ram .
PROCEEDINGS OF 2024 INTERNATIONAL CONFERENCE ON MEDICAL IMAGING AND COMPUTER-AIDED DIAGNOSIS, MICAD 2024, 2025, 1372 :3-12
[43]   Competitive Multi-Verse Optimization with Deep Learning Based Sleep Stage Classification [J].
Hilal A.M. ;
Al-Rasheed A. ;
Alzahrani J.S. ;
Eltahir M.M. ;
Al Duhayyim M. ;
Salem N.M. ;
Yaseen I. ;
Motwakel A. .
Computer Systems Science and Engineering, 2023, 45 (02) :1249-1263
[44]   Deep Learning Using EEG Data in Time and Frequency Domains for Sleep Stage Classification [J].
Manzano, Marti ;
Guillen, Alberto ;
Rojas, Ignacio ;
Javier Herrera, Luis .
ADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2017, PT I, 2017, 10305 :132-141
[45]   Confidence-Based Framework Using Deep Learning for Automated Sleep Stage Scoring [J].
Hong, Jung Kyung ;
Lee, Taeyoung ;
Reyes, Roben Deocampo Delos ;
Hong, Joonki ;
Tran, Hai Hong ;
Lee, Dongheon ;
Jung, Jinhwan ;
Yoon, In-Young .
NATURE AND SCIENCE OF SLEEP, 2021, 13 :2239-2250
[46]   Automatic Sleep Stage Classification Based on Deep Learning for Multi-channel Signals [J].
Huh, Yerim ;
Kim, Ray ;
Koo, Ja Hyung ;
Kim, Yun Kwan ;
Lee, Kwang-No ;
Lee, Minji .
2024 12TH INTERNATIONAL WINTER CONFERENCE ON BRAIN-COMPUTER INTERFACE, BCI 2024, 2024,
[47]   A Flexible Deep Learning Architecture for Temporal Sleep Stage Classification Using Accelerometry and Photoplethysmography [J].
Olsen, Mads ;
Zeitzer, Jamie M. ;
Richardson, Risa N. ;
Davidenko, Polina ;
Jennum, Poul J. ;
Sorensen, Helge B. D. ;
Mignot, Emmanuel .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2023, 70 (01) :228-237
[48]   TESANet: Self-attention network for olfactory EEG classification [J].
Tong, Chengxuan ;
Ding, Yi ;
Liang, Kevin Lim Jun ;
Zhang, Zhuo ;
Zhang, Haihong ;
Guan, Cuntai .
2022 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2022,
[49]   Web service classification based on self-attention mechanism [J].
Jia, Zhichun ;
Zhang, Zhiying ;
Dong, Rui ;
Yang, Zhongxuan ;
Xing, Xing .
2023 35TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC, 2023, :2164-2169
[50]   DenoiseNet: Deep Generator and Discriminator Learning Network With Self-Attention Applied to Ocean Data [J].
Mao, Mingqiu ;
Wang, Huajun ;
Nie, Peng ;
Xiao, Shipeng ;
Wu, Ruijie .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
12345