• DocumentCode
    336327
  • Title

    Computing the forward EEG solution of the multishell spherical head model for localizing electrical activity in the brain

  • Author

    Sun, Mingui

  • Author_Institution
    Dept. of Neurosurg., Pittsburgh Univ., PA, USA
  • Volume
    3
  • fYear
    1997
  • fDate
    30 Oct-2 Nov 1997
  • Firstpage
    1172
  • Abstract
    Localization of electrical activity in the brain based on multichannel EEG measurement has been a problem of major interest in computational neuroscience. To compute the current dipole source within the brain a head volume conductor model is required which relates the EEG potentials to the underlying source. The most commonly used head model is a multishell conducting sphere whose forward solution requires a costly evaluation of an infinite sum of the Legendre polynomials. This paper presents a new algorithm which is a closed-form approximation to the exact solution. The resulting computation is accelerated by as much as sixteen times, and the approximation error is very small. A complete C-source code is provided to facilitate the application of this algorithm
  • Keywords
    Legendre polynomials; electroencephalography; inverse problems; medical diagnostic computing; physiological models; polynomial approximation; EEG potentials; Legendre polynomials; brain; closed-form approximation; complete C-source code; computational neuroscience; current dipole source; exact solution; fast algorithm; forward EEG solution; head volume conductor model; inverse problem; localizing electrical activity; multichannel EEG; multishell spherical head model; small approximation error; underlying source; Brain modeling; Conductivity; Conductors; Electroencephalography; Geometry; Head; Polynomials; Scalp; Solid modeling; Sun;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-4262-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.1997.756568
  • Filename
    756568