• DocumentCode
    1379750
  • Title

    The effect of anisotropy on the potential distribution in biological tissue and its impact on nerve excitation simulations

  • Author

    Szlavik, Robert B. ; De Bruin, Hubert

  • Author_Institution
    Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, Ont., Canada
  • Volume
    47
  • Issue
    9
  • fYear
    2000
  • Firstpage
    1202
  • Lastpage
    1210
  • Abstract
    Presents a finite difference solution of the potential distribution associated with electrical current stimulation in an anisotropic in-homogeneous tissue environment and compare it to the isotropic case. The results demonstrate that there can be significant errors associated with the assumption of isotropic tissue properties in calculating the potential distribution along an axon in nerve excitation simulations. These errors can have a significant impact on predicted nerve fiber recruitment patterns when evaluating the efficacy of specific surface or intramuscular stimulus electrode configurations. The results of this study also suggest when a more comprehensive tissue model should be implemented in an electrode design study. Simulation results indicate that the isotropy assumption is worst under bipolar electrode stimulation as opposed to monopolar stimulation and that the bipolar error increases as the distance between electrodes decreases. In light of these results, it is concluded that in order to avoid large errors in the calculated potential distribution along an axon, the isotropy assumption should only be used when the transverse depth from the electrode to the nerve is relatively small.
  • Keywords
    biological tissues; biomedical electrodes; finite difference methods; neurophysiology; physiological models; axon; biological tissue potential distribution anisotropy; bipolar electrode stimulation; bipolar error; intramuscular stimulus electrode configuration; monopolar stimulation; nerve excitation simulations; transverse depth; Anisotropic magnetoresistance; Biological system modeling; Biological tissues; Computational modeling; Conductivity; Electrodes; Finite difference methods; Muscles; Nerve fibers; Pulse measurements; Anisotropy; Biomedical Engineering; Electric Stimulation; Humans; Models, Neurological; Motor Neurons; Nerve Fibers;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/10.867947
  • Filename
    867947