Canonical decomposition of scalp EEG in epileptic seizure localisation

被引:0
|
作者
De Vos, Maarten [1 ]
De lathauwerl, Lieven [1 ,2 ]
Van Paesschen, W. [3 ]
Van Huffel, Sabine [1 ]
机构
[1] Katholieke Univ Leuven, ESAT SISTA, B-3001 Heverlee, Belgium
[2] Katholieke Univ Leuven, Sub fac sci, Kortrijk, Belgium
[3] Univ Hosp Gasthuisber, Dept Neurol, Leuven, Belgium
关键词
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
When patients with epilepsy cannot be helped with medication, they stay one week in an epilepsy monitoring unit in order to localise the part of the brain that is causing the seizures. The electroencephalogram (EEG) is then recorded over several days as it is the direct measurement of electrical brain activity. We developed a method to extract localising information out of the EEG, even at low signal-to-noise ratios or when the ictal EEGs are severely contaminated. In this survey-paper, we write a manual how to apply the method and illustrate it.
引用
收藏
页码:408 / +
页数:3
相关论文
共 50 条
  • [1] Canonical Decomposition of scalp EEG as preprocessing for source localisation
    De Vos, Maarten
    De Lathauwer, Lieven
    Vanrumste, Bart
    Deburchgraeve, Wouter
    Van Huffel, Sabine
    Van Paesschen, Wim
    [J]. 2007 JOINT MEETING OF THE 6TH INTERNATIONAL SYMPOSIUM ON NONINVASIVE FUNCTIONAL SOURCE IMAGING OF THE BRAIN AND HEART AND THE INTERNATIONAL CONFERENCE ON FUNCTIONAL BIOMEDICAL IMAGING, 2007, : 241 - +
  • [2] Dynamic Mode Decomposition Based Epileptic Seizure Detection from Scalp EEG
    Solaija, Muhammad Sohaib J.
    Saleem, Sajid
    Khurshid, Khawar
    Hassan, Syed Ali
    Kamboh, Awais Mehmood
    [J]. IEEE ACCESS, 2018, 6 : 38683 - 38692
  • [3] Canonical decomposition of ictal scalp EEG reliably detects the seizure onset zone
    De Vos, M.
    Vergult, A.
    De Lathauwer, L.
    De Clercq, W.
    Van Huffel, S.
    Dupont, P.
    Palmini, A.
    Van Paesschen, W.
    [J]. NEUROIMAGE, 2007, 37 (03) : 844 - 854
  • [4] EPILEPTIC SEIZURE PREDICTION BY SCALP EEG ANALYSIS
    Kelly, Kevin M.
    Shiau, D.
    Kern, R. T.
    Chien, J. H.
    Pardalos, P. M.
    Valeriano, J. P.
    Halford, J. J.
    Sackellares, J. C.
    [J]. EPILEPSIA, 2009, 50 : 30 - 30
  • [5] Epileptic Seizure Prediction by Scalp EEG Analysis
    Sackellares, J. Chris
    Shiau, Deng-Shan
    Chien, Jui-Hong
    Halford, Jonathan
    Kelly, Kevin M.
    [J]. ANNALS OF NEUROLOGY, 2009, 66 : S13 - S14
  • [6] Automatic Epileptic Seizure Prediction in Scalp EEG
    Mohan, Nirmal
    Shanir, Muhammed P. P.
    Sulthan, Noufal
    Sofiya, S.
    Khan, Kashif Ahmad
    [J]. 2ND INTERNATIONAL CONFERENCE ON INTELLIGENT CIRCUITS AND SYSTEMS (ICICS 2018), 2018, : 275 - 280
  • [7] Enhancing the Reliability of Epileptic Seizure Alarms for Scalp EEG Signals
    Khalid, Muhammad Imran
    Aldosari, Saeed Abdullah
    Alshebeili, Saleh A.
    Alotaiby, Turky
    [J]. 2015 IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (GLOBALSIP), 2015, : 1302 - 1306
  • [8] Altered Functional Connectivity after Epileptic Seizure Revealed by Scalp EEG
    Liang, Yi
    Chen, Chunli
    Li, Fali
    Yao, Dezhong
    Xu, Peng
    Yu, Liang
    [J]. NEURAL PLASTICITY, 2020, 2020
  • [9] Incorporating BSS to epileptic seizure predictability measure from scalp EEG
    Jing, Min
    Sanei, Saeid
    Corsini, Javier
    Alarcon, Gonzalo
    [J]. 2005 27TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7, 2005, : 5950 - 5953
  • [10] Automatic epileptic seizure prediction based on scalp EEG and ECG signals
    Hoyos-Osorio, Keider
    Castaneda-Gonzalez, Jairo
    Daza-Santacoloma, Genaro
    [J]. 2016 XXI SYMPOSIUM ON SIGNAL PROCESSING, IMAGES AND ARTIFICIAL VISION (STSIVA), 2016,