• DocumentCode
    2200456
  • Title

    Solving the EEG Forward Problem by FDM and FEM

  • Author

    Li, Jing ; Yan, Dandan

  • Author_Institution
    Coll. of Mech. & Electr. Eng., China Jiliang Univ., Hangzhou, China
  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, the finite element method (FEM) and the finite difference method (FDM) were compared for the resolution of the 3D isotropic EEG forward problem, from the point of view of computational complexity and accuracy. The effects of dipole eccentricity and grid model size on solution accuracy and efficiency are addressed in the simulations. The present simulation study indicates that the numerical accuracy of FEM is more sensitive to tangential dipoles, while FDM is more sensitive to radial dipoles, and the FEM provides similar computational efficiency as FDM for equivalent number of elements. But the reconstruction of grid model for FEM is more complex than for FDM, especially to reconstruct the realistic head model.
  • Keywords
    bioelectric potentials; electroencephalography; finite difference methods; finite element analysis; physiological models; 3D isotropic EEG forward problem; FDM; FEM; computational efficiency; electrical conductivity; electrical potential; finite difference method; finite element method; grid model reconstruction; numerical accuracy; radial dipoles; tangential dipoles; three-concentric-sphere head model; Boundary conditions; Brain modeling; Computational modeling; Conductivity; Educational institutions; Electroencephalography; Finite difference methods; Finite element methods; Solid modeling; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Informatics, 2009. BMEI '09. 2nd International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4132-7
  • Electronic_ISBN
    978-1-4244-4134-1
  • Type

    conf

  • DOI
    10.1109/BMEI.2009.5305773
  • Filename
    5305773