• DocumentCode
    1413332
  • Title

    Regional head tissue conductivity estimation for improved EEG analysis

  • Author

    Ferree, T.C. ; Eriksen, K.J. ; Tucker, D.M.

  • Author_Institution
    Electr. Geodesics Inc., Eugene, OR, USA
  • Volume
    47
  • Issue
    12
  • fYear
    2000
  • Firstpage
    1584
  • Lastpage
    1592
  • Abstract
    The authors develop a method for estimating regional head tissue conductivities in vivo, by injecting small (1-10 μA) electric currents into the scalp, and measuring the potentials at the remaining electrodes of a dense-array electroencephalography net. They first derive analytic expressions for the potentials generated by scalp current injection In a four-sphere model of the human head. They then use a multistart downhill simplex algorithm to find regional tissue conductivities which minimize the error between measured and computed scalp potentials. Two error functions are studied, with similar results. The results show that, despite the low skull conductivity and expected shunting by the scalp, all four regional conductivities can be determined to within a few percent error. The method is robust to the noise levels expected in practice. To obtain accurate results the cerebrospinal fluid must be included In the forward solution, but may be treated as a known parameter in the inverse solution.
  • Keywords
    electrical conductivity measurement; electroencephalography; medical signal processing; 1 to 10 muA; analytic expressions; cerebrospinal fluid; computed scalp potentials; dense-array electroencephalography net; electric currents injection; error functions; forward solution; improved EEG analysis; inverse solution; multistart downhill simplex algorithm; regional head tissue conductivity estimation; regional tissue conductivities; Brain modeling; Conductivity measurement; Current measurement; Electric variables measurement; Electrodes; Electroencephalography; Humans; In vivo; Scalp; Skull; Action Potentials; Algorithms; Artifacts; Bias (Epidemiology); Computer Simulation; Electric Conductivity; Electroencephalography; Head; Humans; Imaging, Three-Dimensional; Numerical Analysis, Computer-Assisted; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/10.887939
  • Filename
    887939