• DocumentCode
    1550710
  • Title

    The importance of anisotropy in modeling ST segment shift in subendocardial ischaemia

  • Author

    Johnston, Peter R. ; Kilpatrick, David ; Li, Chuan Yong

  • Author_Institution
    Sch. of Sci., Griffith Univ., Nathan, Qld., Australia
  • Volume
    48
  • Issue
    12
  • fYear
    2001
  • Firstpage
    1366
  • Lastpage
    1376
  • Abstract
    In this paper, a simple mathematical model of a slab of cardiac tissue is presented in an attempt to better understand the relationship between subendocardial ischaemia and the resulting epicardial potential distributions. The cardiac tissue is represented by the bidomain model where tissue anisotropy and fiber rotation have been incorporated with a view to predicting the epicardial surface potential distribution. The source of electric potential in this steady-state problem is the difference between plateau potentials in normal and ischaemic tissue, where it is assumed that ischaemic tissue has a lower plateau potential. Simulations with tissue anisotropy and no fiber rotation are also considered. Simulations are performed for various thicknesses of the transition region between normal and ischaemic tissue and for various sizes of the ischaemic region. The simulated epicardial potential distributions, based on an anisotropic model of the cardiac tissue, show that there are large, potential gradients above the border of the ischaemic region and that there are dips in the potential distribution above the region of ischaemia. It could be concluded from the simulations that it would be possible to predict the region of subendocardial ischaemia from the epicardial potential distribution, a conclusion contrary to observed experimental data. Possible reasons for this discrepancy are discussed. In the interests of mathematical simplicity, isotropic models of the cardiac tissue are also considered, but results from these simulations predict epicardial potential distributions vastly different from experimental observations. A major conclusion from this work is that tissue anisotropy and fiber rotation must be included to obtain meaningful and realistic epicardial potential distributions.
  • Keywords
    diseases; electrocardiography; physiological models; ST segment shift modeling; bidomain model; cardiac tissue; epicardial potential distributions; epicardial surface potential distribution; fiber rotation; isotropic models; normal tissue; plateau potentials; steady-state problem; subendocardial ischaemia; tissue anisotropy; Anisotropic magnetoresistance; Australia; Cardiac tissue; Electrocardiography; Heart; Mathematical model; Muscles; Predictive models; Slabs; Steady-state; Animals; Anisotropy; Electrocardiography; Heart; Humans; Models, Cardiovascular; Myocardial Ischemia;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/10.966596
  • Filename
    966596