• DocumentCode
    3592573
  • Title

    Comparison of phenomenological and biophysical cardiac models coupled with heterogenous structures for prediction of electrical activation sequence

  • Author

    Pashaei, A. ; Romero, D. ; Sebastian, R. ; Camara, O. ; Frangi, A.F.

  • Author_Institution
    Comput. Imaging & Simulation Technol. in Biomedicine (CISTIB), Univ. Pompeu Fabra, Barcelona, Spain
  • fYear
    2010
  • Firstpage
    871
  • Lastpage
    874
  • Abstract
    The electrical activation sequence of the ventricles follows a complex pattern which ensures an efficient contraction and subsequent blood pumping. Today, electrical therapies are often used to correct those behaviors, although a-priori it is unknown how the activation sequence will change. In this paper, we study changes in the activation pattern using electrical simulations based on both phenomenological and biophysical models. The complex electrophysiological modeling takes into account the cell specific ion kinetic and reaction-diffusion equations for tissue propagation, whereas the simple modeling is based on Eikonal equation. The computational model includes the specialized electrical structures in the ventricles. Simulation outcomes were compared by looking at the local activation times (LAT) and following total activation time (TAT). Results show that the inclusion of a biophysically based conduction system on a phenomenological model reduces the differences with fully biophysical models, requiring short computational times.
  • Keywords
    bioelectric phenomena; blood; cardiology; cellular biophysics; physiological models; reaction kinetics theory; Eikonal equation; biophysical cardiac models; cell specific ion kinetic equations; complex pattern; computational model; efficient contraction; electrical activation sequence; electrical simulations; electrical therapies; electrophysiological modeling; heterogenous structures; local activation times; phenomenological models; subsequent blood pumping; tissue propagation; total activation time; ventricles; Biological system modeling; Cathode ray tubes; Computational modeling; Heart; Mathematical model; Myocardium; Numerical models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing in Cardiology, 2010
  • ISSN
    0276-6547
  • Print_ISBN
    978-1-4244-7318-2
  • Electronic_ISBN
    0276-6547
  • Type

    conf

  • Filename
    5738112