Time-frequency distributions of subdural EEG at epileptic seizure onset

被引:1
|
作者
Sun, M [1 ]
Scheuer, ML [1 ]
Qian, S [1 ]
Pon, LS [1 ]
Sclabassi, RJ [1 ]
机构
[1] Univ Pittsburgh, Dept Neurosurg, Pittsburgh, PA 15213 USA
关键词
D O I
10.1109/TFSA.1998.721364
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A high-frequency signal occurring at epileptic seizure onset is investigated using time-frequency methods. This signal is extracted from the background activity by repeated forward and inverse Gabor transformations. The generation sites of this signal are determined by displaying the average signal power values with a 3-D anatomical image obtained from MRT scans.
引用
收藏
页码:73 / 76
页数:4
相关论文
共 50 条
  • [31] CLASSIFICATION OF EEG SIGNALS USING ADAPTIVE TIME-FREQUENCY DISTRIBUTIONS
    Khan, Nabeel A.
    Ali, Sadiq
    METROLOGY AND MEASUREMENT SYSTEMS, 2016, 23 (02) : 251 - 260
  • [32] IDENTIFYING NEURAL DISCHARGES USING TIME-FREQUENCY DISTRIBUTIONS FOR EEG
    Guerrero-Mosquera, Carlos
    Navia Vazquez, Angel
    Malanda Trigueros, Armando
    ICSPC: 2007 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATIONS, VOLS 1-3, PROCEEDINGS, 2007, : 1563 - +
  • [33] Time-frequency extraction of EEG spike events for seizure detection in neonate
    Hassanpour, H
    Williams, W
    Mesbah, M
    Boashash, B
    ISSPA 2001: SIXTH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, VOLS 1 AND 2, PROCEEDINGS, 2001, : 246 - 249
  • [34] Detection of newborns' EEG seizure using time-frequency divergence measures
    Zarjam, P
    Azemi, G
    Mesbah, M
    Boashash, B
    2004 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL V, PROCEEDINGS: DESIGN AND IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS INDUSTRY TECHNOLOGY TRACKS MACHINE LEARNING FOR SIGNAL PROCESSING MULTIMEDIA SIGNAL PROCESSING SIGNAL PROCESSING FOR EDUCATION, 2004, : 429 - 432
  • [35] Newborn EEG seizure pattern characterisation using time-frequency analysis
    Boashash, B
    Mesbah, M
    Colditz, P
    2001 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-VI, PROCEEDINGS: VOL I: SPEECH PROCESSING 1; VOL II: SPEECH PROCESSING 2 IND TECHNOL TRACK DESIGN & IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS NEURALNETWORKS FOR SIGNAL PROCESSING; VOL III: IMAGE & MULTIDIMENSIONAL SIGNAL PROCESSING MULTIMEDIA SIGNAL PROCESSING, 2001, : 1041 - 1044
  • [36] Time-frequency matching of warped depth-EEG seizure observations
    Wendling, F
    Shamsollahi, MB
    Badier, JM
    Bellanger, JJ
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 1999, 46 (05) : 601 - 605
  • [37] Time and frequency domain pre-processing for epileptic seizure classification of epileptic EEG signals
    Dutta, Kusumika Krori
    Manohar, Premila
    Indira, K.
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2023, 45 (05) : 8217 - 8226
  • [38] Detection of Epileptic Seizure Event and Onset Using EEG
    Ahammad, Nabeel
    Fathima, Thasneem
    Joseph, Paul
    BIOMED RESEARCH INTERNATIONAL, 2014, 2014
  • [39] EEG source imaging of epileptic activity at seizure onset
    Kuo, Ching-Chang
    Tucker, Don M.
    Luu, Phan
    Jenson, Kevin
    Tsai, Jeffrey J.
    Ojemann, Jeffrey G.
    Holmes, Mark D.
    EPILEPSY RESEARCH, 2018, 146 : 160 - 171
  • [40] Time from ictal subdural EEG seizure onset to clinical seizure onset: Prognostic value for selecting temporal lobectomy candidates
    Weinand, ME
    Kester, MM
    Labiner, DM
    Ahern, GL
    NEUROLOGICAL RESEARCH, 2001, 23 (06) : 599 - 604