• DocumentCode
    3617930
  • Title

    Line source modeling and estimation with magnetoencephalography

  • Author

    I.S. Yetik;A. Nehorai;C.H. Muravchik;J. Haueisen

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Illinois Univ., Chicago, IL, USA
  • fYear
    2004
  • fDate
    6/26/1905 12:00:00 AM
  • Firstpage
    1339
  • Abstract
    We propose a number of line-source models for magnetoencephalography (MEG). We derive forward solutions, maximum likelihood (ML) estimates, and Cramer-Rao bound (CRB) expressions for the unknown parameters. We also apply our methods to real MEG data, the N20 response after electric stimulation of the median nerve, known to be an extended source. It is observed that the line-source models represent the N20 generator better than the focal model.
  • Keywords
    "Magnetoencephalography","Maximum likelihood estimation","Parameter estimation","Hospitals","Magnetic analysis","Spatial resolution","Degradation","Taylor series","Azimuth"
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium on
  • Print_ISBN
    0-7803-8388-5
  • Type

    conf

  • DOI
    10.1109/ISBI.2004.1398794
  • Filename
    1398794
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3617930