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
  • [41] Time-Varying Time-Frequency Complexity Measures for Epileptic EEG Data Analysis
    Colominas, Marcelo A.
    Jomaa, Mohamad El Sayed Hussein
    Jrad, Nisrine
    Humeau-Heurtier, Anne
    Van Bogaert, Patrick
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2018, 65 (08) : 1681 - 1688
  • [42] Time–frequency texture descriptors of EEG signals for efficient detection of epileptic seizure
    Şengür A.
    Guo Y.
    Akbulut Y.
    Brain Informatics, 2016, 3 (02) : 101 - 108
  • [43] Time-frequency analysis of epileptic EEG patterns by means of empirical modes and wavelets
    Grubov, Vadim V.
    Sitnikova, Evgenia Yu
    Pavlov, Alexey N.
    Khramova, Marina V.
    Koronovskii, Alexey A.
    Hramov, Alexander E.
    SARATOV FALL MEETING 2014: OPTICAL TECHNOLOGIES IN BIOPHYSICS AND MEDICINE XVI; LASER PHYSICS AND PHOTONICS XVI; AND COMPUTATIONAL BIOPHYSICS, 2015, 9448
  • [44] Window-based Time-Frequency Methods for Analyzing Epileptic EEG Signals
    Yan, Yi
    Samdin, S. Balqis
    Minhad, Khairun Nisa'
    2022 IEEE-EMBS CONFERENCE ON BIOMEDICAL ENGINEERING AND SCIENCES, IECBES, 2022, : 292 - 297
  • [45] Neonatal EEG seizure detection using spike signatures in the time-frequency domain
    Hassanpour, H
    Mesbah, M
    SEVENTH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, VOL 2, PROCEEDINGS, 2003, : 41 - 44
  • [46] NEONATAL SEIZURE DETECTION AND LOCALIZATION USING TIME-FREQUENCY ANALYSIS OF MULTICHANNEL EEG
    Khlif, M. S.
    Mesbah, M.
    Boashash, B.
    Colditz, P.
    ICSPC: 2007 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATIONS, VOLS 1-3, PROCEEDINGS, 2007, : 1567 - 1570
  • [47] Newborn EEG seizure detection using optimized time-frequency matched filter
    Mesbah, M.
    Khlif, M.
    Boashash, B.
    Colditz, P.
    2007 9TH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, VOLS 1-3, 2007, : 736 - 739
  • [48] SVD-based newborn EEG seizure detection in the time-frequency domain
    Hassanpour, H
    Mesbah, M
    Boashash, B
    MODELLING AND CONTROL IN BIOMEDICAL SYSTEMS 2003 (INCLUDING BIOLOGICAL SYSTEMS), 2003, : 329 - 333
  • [49] Robust time-frequency analysis of newborn EEG seizure corrupted by impulsive artefacts
    Brotchie, James
    Rankine, Luke
    Mesbah, Mostefa
    Colditz, Paul
    Boashash, Boualem
    2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16, 2007, : 11 - +
  • [50] Deep learning based automatic seizure prediction with EEG time-frequency representation
    Dong, Xingchen
    He, Landi
    Li, Haotian
    Liu, Zhen
    Shang, Wei
    Zhou, Weidong
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2024, 95