• DocumentCode
    1553512
  • Title

    Estimating cortical potentials from scalp EEGs in a realistically shaped inhomogeneous head model by means of the boundary element method

  • Author

    He, Bin ; Wang, Yunhua ; Wu, Dongsheng

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Illinois Univ., Chicago, IL, USA
  • Volume
    46
  • Issue
    10
  • fYear
    1999
  • Firstpage
    1264
  • Lastpage
    1268
  • Abstract
    Cortical potentials are estimated from scalp potentials using a realistically shaped inhomogeneous head model, by means of the boundary clement method (BEM). A new adaptive algorithm has been developed to achieve high accuracy to link directly the cortical potentials to the scalp potentials in a realistically shaped inhomogeneous head model including the thin low-conductivity skull layer. Computer simulations using a concentric three spheres head model have tested this approach. The present study demonstrates that the cortical potentials can be directly estimated from the scalp potentials using the BEM in a realistically shaped inhomogeneous head model.
  • Keywords
    adaptive signal processing; boundary-elements methods; brain models; digital simulation; electroencephalography; inverse problems; medical signal processing; adaptive algorithm; computer simulations; concentric three spheres head model; cortical potentials estimation; electrodiagnostics; scalp EEGs; thin low-conductivity skull layer; Biomedical imaging; Biomedical signal processing; Boundary element methods; Brain modeling; Distortion measurement; Electroencephalography; Frequency estimation; Head; Scalp; Spatial resolution; Algorithms; Brain; Cerebral Cortex; Computer Simulation; Electric Conductivity; Electroencephalography; Head; Humans; Models, Anatomic; Models, Neurological; Models, Statistical; Scalp; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/10.790505
  • Filename
    790505