• DocumentCode
    1821030
  • Title

    Combining WMN and FOCUSS recursive approach to estimating the current density distribution in the brain

  • Author

    Zouch, Wassim ; Khemakhem, R. ; Boughariou, Jihene ; Taleb-Ahmed, A. ; Feki, I. ; Ben Hamida, Ahmed ; Derambure, P.

  • Author_Institution
    Univ. de Sfax, Sfax
  • fYear
    2007
  • fDate
    22-26 Aug. 2007
  • Firstpage
    598
  • Lastpage
    601
  • Abstract
    In this paper we present a new approach which combines the two methods of cerebral electric activity\´s localization: ";Weighted Minimum Norm"; (WMN) and the iterative method ";FOCal Underdetermined System Solver"; (FOCUSS). Our idea is to use the current density distribution estimated by the WMN method in order to initialize the weighting matrix necessary for the localization with FOCUSS method. We compare the found results with those of the traditional WMN and FOCUSS methods in term of computing time and resolution matrix. The presented results show that our approach gives a good localization of the active sources in the brain.
  • Keywords
    bioelectric phenomena; biomedical measurement; brain; current density; iterative methods; matrix algebra; neurophysiology; brain active sources; cerebral electric activity localization; current density distribution; focal underdetermined system solver; iterative method; resolution matrix; time matrix; weighted minimum norm method; weighting matrix; Amplitude estimation; Brain mapping; Current density; Electroencephalography; Equations; Inverse problems; Iterative methods; Recursive estimation; Scalp; Tomography; FOCUSS; Inverse problem; WMN; brain mapping; Animals; Brain Mapping; Cerebrum; Humans; Models, Biological;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
  • Conference_Location
    Lyon
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-0787-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2007.4352361
  • Filename
    4352361