Differences in electroencephalogram signal combination performances in deep learning-based sleep staging

被引:0
|
作者
Tashakori, Masoumeh [1 ,2 ]
Rusanen, Matias [1 ,2 ,3 ]
Karhu, Tuomas [1 ,2 ]
Huttunen, Riku [1 ,2 ]
Leppanen, Timo [1 ,2 ,4 ]
Nikkonen, Sami [1 ,2 ]
机构
[1] Univ Eastern Finland, Tech Phys, Kuopio, Finland
[2] Kuopio Univ Hosp, Diagnost Imaging Ctr, Kuopio, Finland
[3] Grenoble Alpes Univ, Grenoble, France
[4] Univ Queensland, Sch Elect Engn & Comp Sci, Brisbane, Qld, Australia
关键词
D O I
暂无
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
P807
引用
收藏
页数:2
相关论文
共 50 条
  • [41] Review of Deep Learning Methods for Automated Sleep Staging
    Malekzadeh, Masoud
    Hajibabaee, Parisa
    Heidari, Maryam
    Berlin, Brett
    2022 IEEE 12TH ANNUAL COMPUTING AND COMMUNICATION WORKSHOP AND CONFERENCE (CCWC), 2022, : 80 - 86
  • [42] Sleep staging from electrocardiography and respiration with deep learning
    Sun, Haoqi
    Ganglberger, Wolfgang
    Panneerselvam, Ezhil
    Leone, Michael J.
    Quadri, Syed A.
    Goparaju, Balaji
    Tesh, Ryan A.
    Akeju, Oluwaseun
    Thomas, Robert J.
    Westover, M. Brandon
    SLEEP, 2020, 43 (07)
  • [43] Application of deep learning-based CT texture analysis in TNM staging of gastric cancer
    Liu, Fengfeng
    Xie, Qun
    Wang, Qi
    Li, Xuejiao
    JOURNAL OF RADIATION RESEARCH AND APPLIED SCIENCES, 2023, 16 (03)
  • [44] A deep learning-based automatic staging method for early endometrial cancer on MRI images
    Mao, Wei
    Chen, Chunxia
    Gao, Huachao
    Xiong, Liu
    Lin, Yongping
    FRONTIERS IN PHYSIOLOGY, 2022, 13
  • [45] Cerebral asymmetry representation learning-based deep subdomain adaptation network for electroencephalogram-based emotion recognition
    Wang, Zhe
    Wang, Yongxiong
    Wan, Xin
    Tang, Yiheng
    PHYSIOLOGICAL MEASUREMENT, 2024, 45 (03)
  • [46] Automatic sleep staging method of EEG signal based on transfer learning and fusion network
    Wang, Hai
    Guo, Hongbo
    Zhang, Kan
    Gao, Ling
    Zheng, Jie
    NEUROCOMPUTING, 2022, 488 : 183 - 193
  • [47] Deep Learning-Based Approach for Sleep Apnea Detection Using Physiological Signals
    Troncoso-Garcia, A. R.
    Martinez-Ballesteros, M.
    Martinez-Alvarez, F.
    Troncoso, A.
    ADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2023, PT I, 2023, 14134 : 626 - 637
  • [48] RESEARCH ON DEEP LEARNING-BASED ALGORITHM FOR DIGITAL IMAGE COMBINATION AND TARGET DETECTION
    Huang, Shanlu
    Lai, Jialin
    SCALABLE COMPUTING-PRACTICE AND EXPERIENCE, 2024, 25 (05): : 4023 - 4031
  • [49] Machine Learning and Electroencephalogram Signal based Diagnosis of Depression
    Khadidos, Adil O.
    Alyoubi, Khaled H.
    Mahato, Shalini
    Khadidos, Alaa O.
    Mohanty, Sachi Nandan
    NEUROSCIENCE LETTERS, 2023, 809
  • [50] COMBINATION OF DEEP LEARNING-BASED AND HANDCRAFTED FEATURES FOR BLIND IMAGE QUALITY ASSESSMENT
    Chetouani, Aladine
    Quach, Maurice
    Valenzise, Giuseppe
    Dufaux, Frederic
    PROCEEDINGS OF THE 2021 9TH EUROPEAN WORKSHOP ON VISUAL INFORMATION PROCESSING (EUVIP), 2021,