• DocumentCode
    831274
  • Title

    Modeling the effects of electric fields on nerve fibers: Determination of excitation thresholds

  • Author

    Warman, Eduardo N. ; Grill, Warren M. ; Durand, Dominique

  • Author_Institution
    Dept. of Biomed. Eng., Case Western Reserve Univ., Cleveland, OH, USA
  • Volume
    39
  • Issue
    12
  • fYear
    1992
  • Firstpage
    1244
  • Lastpage
    1254
  • Abstract
    A method for predicting excitation of axons based on the response of passive models is proposed. An expression describing the transmembrane potential induced in passive models to an applied electric field is presented. Two terms drive the polarization of each node: a source term described by the activating function at the node, and an ohmic term resulting from redistribution of current from sources at other nodes. It is shown that a total equivalent driving function including both terms can be used to provide predictions of excitation thresholds for any applied field. The method requires only knowledge of the intracellular strength-duration relationship of the axon, the passive step response of the axon to an intracellular current, and the values of the extracellular potentials. Excitation thresholds for any given applied field can then be calculated using a simple algebraic expression. This method eliminates the errors associated with use of the activating function alone, and greatly reduces the computation required.
  • Keywords
    bioelectric phenomena; biological effects of fields; electric field effects; neurophysiology; physiological models; activating function; axon excitation prediction method; current redistribution; excitation thresholds; intracellular strength-duration relationship; nerve fibers; node polarization; ohmic term; simple algebraic expression; total equivalent driving function; Capacitance; Conductivity; Ear; Electrodes; Extracellular; Geometry; Nerve fibers; Optical fiber polarization; Predictive models; Virtual manufacturing; Anisotropy; Computer Simulation; Electric Conductivity; Electrodes; Electromagnetic Fields; Membrane Potentials; Models, Neurological; Nerve Fibers; Recruitment, Neurophysiological;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/10.184700
  • Filename
    184700