Feasibility Analysis of Symbolic Representation for Single-Channel EEG-Based Sleep Stages

被引：1
|
作者：
Chen, Zheng [1 ]
Gao, Pei [1 ]
Huang, Ming [1 ]
Ono, Naoaki [1 ,2 ]
Altaf-Ul-Amin, M. D. [1 ]
Kanaya, Shigehiko [1 ,2 ]
机构：
[1] Nara Insitute Sci & Technol, Grad Sch Sci & Technol, Takayamacho 8916-5, Ikoma 6300192, Japan
[2] Nara Insitute Sci & Technol, Data Sci Ctr, Takayamacho 8916-5, Ikoma 6300192, Japan
来源：
2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC) | 2021年
基金：
日本学术振兴会;
关键词：
D O I：
10.1109/EMBC46164.2021.9629652
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
Sleep screening based on the construction of sleep stages is one of the major tool for the assessment of sleep quality and early detection of sleep-related disorders. Due to the inherent variability such as inter-users anatomical variability and the inter-systems differences, representation learning of sleep stages in order to obtain the stable and reliable characteristics is runoff for downstream tasks in sleep science. In this paper, we investigated feasibility of the EEG-based symbolic representation for sleep stages. By combining the Latent Dirichlet Allocation topic model and comparing with different feature extraction methods, the work proved the feasibility of multi-topics representation for sleep stages and physiological signals.
引用
收藏
页码：5928 / 5931
页数：4
相关论文
共 50 条
  • [1] Evaluation of a Single-Channel EEG-Based Sleep Staging Algorithm
    Zhao, Shanguang
    Long, Fangfang
    Wei, Xin
    Ni, Xiaoli
    Wang, Hui
    Wei, Bokun
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (05)
  • [2] Single-channel EEG classification of sleep stages based on REM microstructure
    Rechichi, Irene
    Zibetti, Maurizio
    Borzi, Luigi
    Olmo, Gabriella
    Lopiano, Leonardo
    [J]. HEALTHCARE TECHNOLOGY LETTERS, 2021, 8 (03) : 58 - 65
  • [3] Analysis and Classification of Sleep Stages Based on Common Frequency Pattern From a Single-Channel EEG Signal
    Huang, Shoulin
    Zhu, Junhua
    Chen, Yang
    Wang, Tong
    Ma, Ting
    [J]. 42ND ANNUAL INTERNATIONAL CONFERENCES OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY: ENABLING INNOVATIVE TECHNOLOGIES FOR GLOBAL HEALTHCARE EMBC'20, 2020, : 3711 - 3714
  • [4] A Single Channel EEG-based All AASM Sleep Stages Classifier for Neurodegenerative Disorder
    Zamin, Syed Ali
    Bin Altaf, Muhammad Awais
    Saadeh, Wala
    [J]. 2019 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS 2019), 2019,
  • [5] Analysis and Classification of Sleep Stages Based on Difference Visibility Graphs From a Single-Channel EEG Signal
    Zhu, Guohun
    Li, Yan
    Wen, Peng
    [J]. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2014, 18 (06) : 1813 - 1821
  • [6] An automatic single-channel EEG-based sleep stage scoring method based on hidden Markov Model
    Ghimatgar, Hojat
    Kazemi, Kamran
    Helfroush, Mohammad Sadegh
    Aarabi, Ardalan
    [J]. JOURNAL OF NEUROSCIENCE METHODS, 2019, 324
  • [7] Systematic Review of Single-Channel EEG-Based Drowsiness Detection Methods
    Balam, Venkata Phanikrishna
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024,
  • [8] EEG-BASED MULTIVARIATE STATISTICAL-ANALYSIS OF SLEEP STAGES
    MOLINARI, L
    DUMERMUTH, G
    LANGE, B
    [J]. NEUROPSYCHOBIOLOGY, 1984, 11 (02) : 140 - 148
  • [9] SleepNet-Lite: A Novel Lightweight Convolutional Neural Network for Single-Channel EEG-Based Sleep Staging
    Zhou, Huihui
    Liu, Aiping
    Cui, Heng
    Bie, Yuanzhi
    Chen, Xun
    [J]. IEEE SENSORS LETTERS, 2023, 7 (02)
  • [10] Automated Classification of Sleep Stages Using Single-Channel EEG: A Machine Learning-Based Method
    Satapathy, Santosh Kumar
    Loganathan, D.
    [J]. INTERNATIONAL JOURNAL OF INFORMATION RETRIEVAL RESEARCH, 2022, 12 (02)
12345