• DocumentCode
    1823073
  • Title

    Quantitative modeling of electric field in deep brain stimulation: Study of medium brain tissue and stimulation pulse parameters

  • Author

    Saad, J.F.H. ; Gabran, S.R.I. ; Salama, M.M.A. ; Mansour, R.R.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
  • fYear
    2011
  • fDate
    April 27 2011-May 1 2011
  • Firstpage
    220
  • Lastpage
    224
  • Abstract
    This paper introduces a finite difference time domain (FDTD) model for the electromagnetic simulation and analysis of a 4-channel deep brain stimulation (DBS) electrode. The analysis uses non-homogenous tissue models representing the gray and white tissue matter. The model includes the encapsulation layer of unexcitable tissues. Several low frequency signal models for brain tissue and the DBS electrode are developed to investigate the effect of the dielectric properties, stimulation pulse parameters and firing pattern (current steering) on controlling the field intensity distribution. These models are used to provide a quantitative formulation of the tissue-field interaction and the parameters influencing the electric field distribution within the brain tissue. The simulation results provide reference and benchmarking data for DBS electrode development.
  • Keywords
    biological effects of fields; biological tissues; biomedical electrodes; brain; data analysis; electric field effects; finite difference time-domain analysis; medical computing; neuromuscular stimulation; physiological models; 4-channel deep brain stimulation electrode; DBS electrode; FDTD model; current steering; data benchmarking; dielectric properties; electromagnetic simulation; electrotherapeutic techniques; field intensity distribution control; finite difference time domain model; firing pattern; gray tissue matter; medium brain tissue; nonhomogenous tissue models; quantitative electric field modeling; stimulation pulse parameters; tissue-field interaction; white tissue matter; Brain modeling; Dielectrics; Electric fields; Electrodes; Mathematical model; Satellite broadcasting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Engineering (NER), 2011 5th International IEEE/EMBS Conference on
  • Conference_Location
    Cancun
  • ISSN
    1948-3546
  • Print_ISBN
    978-1-4244-4140-2
  • Type

    conf

  • DOI
    10.1109/NER.2011.5910527
  • Filename
    5910527