• DocumentCode
    2112552
  • Title

    A reconstruction algorithm for point-wise sources in a two-dimension electroencephalography model

  • Author

    Hongyan Wang ; Jiayin Sun ; Yuan Li ; Zejing Xing ; Lixin Feng

  • Author_Institution
    Sch. of Math. Sci., Heilongjiang Univ., Harbin, China
  • fYear
    2013
  • fDate
    23-25 July 2013
  • Firstpage
    695
  • Lastpage
    699
  • Abstract
    This paper proposes a computing algorithm for reconstructing point-wise sources in an inverse electroencephalography problem, where only a two- dimension model for boundary problem of Poisson equation is considered. Based on the variational form of this boundary value problem, we select a special form of complex polynomial as the test function, and then derive an algebraic relationship among the source parameters. Then the point-wise sources can be reconstructed by using an algebraic direct method. We present that this algebraic direct algorithm is suitable for both monopole sources and dipole sources. Finally, a few numerical examples are demonstrated to verify the efficiency of this algorithm.
  • Keywords
    Poisson equation; biomedical measurement; boundary-value problems; electroencephalography; inverse problems; medical computing; polynomials; 2D electroencephalography model; Poisson equation; algebraic direct method; algebraic relationship; boundary value problem; complex polynomial; computing algorithm; dipole sources; inverse electroencephalography problem; monopole sources; point-wise sources; reconstruction algorithm; source parameters; Brain modeling; Educational institutions; Electroencephalography; Inverse problems; Mathematical model; Polynomials;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2013 10th International Conference on
  • Conference_Location
    Shenyang
  • Type

    conf

  • DOI
    10.1109/FSKD.2013.6816285
  • Filename
    6816285