• DocumentCode
    438948
  • Title

    Multi dipole source identification from EEG/MEG topography

  • Author

    Li, Zhuoming ; Bai, Xiaoxiao ; Zhang, Qinyu ; Akutagawa, Masatake ; Shichijo, Fumio ; Kinouchi, Yohsuke ; Abeyratne, Udantha R.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Tokushima Univ., Japan
  • Volume
    2
  • fYear
    2004
  • fDate
    6-9 Dec. 2004
  • Firstpage
    953
  • Abstract
    The end goal of source localization problem is to find the parameters of the brain source. The source number is also the case of these parameters. In this paper we consider two system identification methods (e.g., the information criterion method and the F-test method) to determine the dipole number only with one EEG or MEG topography. Then compare the results from these two methods and find the better one. The following investigations are presented to show that the information criterion method used in this paper is an advanced approach for determining the dipole number just with one EEG or MEG topography.
  • Keywords
    electroencephalography; magnetoencephalography; medical signal processing; EEG topography; F-test method; MEG topography; brain source; dipole number; information criterion method; multidipole source identification; source localization problem; system identification methods; Australia; Brain modeling; Electrodes; Electroencephalography; Hospitals; Humans; Magnetic heads; Magnetic sensors; Multiple signal classification; Surfaces;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th
  • Print_ISBN
    0-7803-8653-1
  • Type

    conf

  • DOI
    10.1109/ICARCV.2004.1468969
  • Filename
    1468969