Detection of seizures in newborns using time-frequency analysis of EEG signals

被引:0
|
作者
Boashash, Boualem [1 ]
Carson, Helen [1 ]
Mesbah, Mostefa [1 ]
机构
[1] Queensland Univ of Technology, Brisbane
关键词
Data acquisition - Frequency domain analysis - Mathematical models - Parameter estimation - Signal detection - Signal interference - Signal processing - Spectrum analysis - Time series analysis;
D O I
暂无
中图分类号
学科分类号
摘要
This paper presents a time-frequency approach for electroencephalographic (EEG) seizure detection. The proposed method uses the high-resolution reduced interference B time-frequency distribution. An in-depth analysis of the seizure detection techniques of Gotman (frequency domain) and Liu (time domain) has been performed in order to compare with the detection criteria used in the time-frequency domain. Both synthetic and real neo-natal EEG signals have been used for testing.
引用
收藏
页码:564 / 568
相关论文
共 50 条
  • [21] Time-Frequency Analysis of Accelerometry Data for Detection of Myoclonic Seizures
    Nijsen, Tamara M. E.
    Aarts, Ronald M.
    Cluitmans, Pierre J. M.
    Griep, Paul A. M.
    [J]. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, 2010, 14 (05): : 1197 - 1203
  • [22] Predicting seizure onset based on time-frequency analysis of EEG signals
    Tamanna, Tasmi
    Rahman, Md Anisur
    Sultana, Samia
    Haque, Mohammad Hasibul
    Parvez, Mohammad Zavid
    [J]. CHAOS SOLITONS & FRACTALS, 2021, 145
  • [23] Based on the time-frequency analysis to distinguish different epileptiform EEG signals
    Guo Hua
    Xia Yang
    Liu Fei
    Liu Xiaoqin
    Dai Shengjun
    Lei Lei
    Wang Yuqing
    [J]. 2009 3RD INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING, VOLS 1-11, 2009, : 1161 - 1163
  • [24] Neonates' EEG spike detection using a time-frequency approach
    Zarjam, P
    Azemi, G
    Boashash, B
    [J]. ISSPA 2005: THE 8TH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, VOLS 1 AND 2, PROCEEDINGS, 2005, : 183 - 186
  • [25] <bold>A Time-Frequency Based Method for the Detection of Epileptic Seizures in EEG Recordings</bold>
    Tzallas, Alexandros T.
    Tsipouras, Markos G.
    Fotiadis, Dirnitrios I.
    [J]. TWENTIETH IEEE INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, PROCEEDINGS, 2007, : 135 - +
  • [26] A Dementia Classification Framework Using Frequency and Time-Frequency Features Based on EEG Signals
    Durongbhan, Pholpat
    Zhao, Yifan
    Chen, Liangyu
    Zis, Panagiotis
    De Marco, Matteo
    Unwin, Zoe C.
    Venneri, Annalena
    He, Xiongxiong
    Li, Sheng
    Zhao, Yitian
    Blackburn, Daniel J.
    Sarrigiannis, Ptolemaios G.
    [J]. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2019, 27 (05) : 826 - 835
  • [27] Time-Frequency Analysis of Vascular Dementia EEG Signals using Generalized S-transform
    Sheng, Hengsong
    Xu, Jin
    Zheng, Chongxun
    [J]. 2010 4TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING (ICBBE 2010), 2010,
  • [28] Detection and localization of complex SEEG patterns in epileptic seizures using time-frequency analysis
    Shamsollahi, MB
    Senhadji, L
    LeBouquinJeannes, R
    [J]. PROCEEDINGS OF THE IEEE-SP INTERNATIONAL SYMPOSIUM ON TIME-FREQUENCY AND TIME-SCALE ANALYSIS, 1996, : 105 - 108
  • [29] COMPARING TWO TIME-SCALE AND TIME-FREQUENCY BASED METHODS IN NEWBORNS' EEG SEIZURE DETECTION
    Zarjam, Pega
    Mesbah, Mostefa
    Boashash, Boualem
    [J]. ICSPC: 2007 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATIONS, VOLS 1-3, PROCEEDINGS, 2007, : 1579 - +
  • [30] TIME-FREQUENCY PROCESSING METHOD OF EPILEPTIC EEG SIGNALS
    Bousbia-Salah, Assya
    Talha-Kedir, Malika
    [J]. BIOMEDICAL ENGINEERING-APPLICATIONS BASIS COMMUNICATIONS, 2015, 27 (02):