• DocumentCode
    1247379
  • Title

    Designing transcranial magnetic stimulation systems

  • Author

    Davey, Kent ; Riehl, Mark

  • Author_Institution
    Center for Electromech., Univ. of Texas, USA
  • Volume
    41
  • Issue
    3
  • fYear
    2005
  • fDate
    3/1/2005 12:00:00 AM
  • Firstpage
    1142
  • Lastpage
    1148
  • Abstract
    We explain the process of designing optimized transcranial magnetic stimulation systems and outline a method for identifying optimal system parameters such as the number of turns, the capacitor size, the working voltage, and the size of the stimulation coil. The method combines field analysis, linear and nonlinear circuit analysis, and neural strength-duration response parameters. The method uses boundary-element analysis to predict the electric field as a function of depth, frequency, current, and excitation coil size. It then uses the field analysis to determine the inductance as a function of size and, in general, current when a saturable core is used. Circuit analysis allows these electric field computations to be indexed against system parameters, and optimized for total system energy and stimulation coil size. System optimizations depend on desired stimulation depth. A distinguishing feature of the method is that it inherently treats excitation frequency as an unknown to be determined from optimization.
  • Keywords
    boundary-elements methods; brain; coils; electromagnetic fields; inductance; linear network analysis; neurophysiology; nonlinear network analysis; optimisation; boundary-element analysis; capacitor size; electric field computations; excitation coil size; excitation frequency; field analysis; linear circuit analysis; neural strength-duration response parameters; nonlinear circuit analysis; optimal design; optimal system parameters; stimulation coil size; total system energy; transcranial magnetic stimulation systems; working voltage; Capacitors; Circuit analysis computing; Coils; Design optimization; Frequency; Magnetic analysis; Magnetic stimulation; Nonlinear circuits; Process design; Voltage; Capacitance; core; energy; iron; neural; stimulation;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/TMAG.2004.843326
  • Filename
    1406106