• DocumentCode
    169912
  • Title

    Modeling fibrosis distribution for the study of wave propagation patterns during atrial fibrillation

  • Author

    Pelloni, Samuele ; Mase, Michela ; Cristoforetti, Alessandro ; Ravelli, Flavia

  • Author_Institution
    Dept. of Phys., Univ. of Trento, Trento, Italy
  • fYear
    2014
  • fDate
    25-28 May 2014
  • Firstpage
    79
  • Lastpage
    80
  • Abstract
    Experimental and clinical evidence suggests the role of fibrosis in the formation of a pro-arrhythmic substrate for atrial fibrillation (AF). This work presents a simulation model to investigate the interactions between excitation wavefronts and fibrosis. The Courtemanche-Ramirez-Nattel model of the human atrial potential was implemented on a sphere monolayer, and fibrosis was included replacing mesh nodes with non-excitable elements with no-flux boundary conditions. A stochastic algorithm was used to generate spatial patterns of fibrosis with specific density, patch dimension and orientation. Simulations run at different model parameters showed that the presence and spatial pattern of fibrosis could significantly alter the dynamics of propagating wavefronts, favoring the occurrence of reentrant activity and self-sustained propagation. Combined with more realistic atrial geometry, this simulation model may help to clarify the determinants of AF multifactorial substrate.
  • Keywords
    bioelectric potentials; cardiology; monolayers; stochastic processes; AF multifactorial substrate; Courtemanche-Ramirez-Nattel model; atrial fibrillation; atrial geometry; excitation wavefronts; fibrosis distribution; fibrosis spatial pattern; human atrial potential; mesh nodes; model parameters; no-flux boundary conditions; nonexcitable elements; patch dimension; patch orientation; proarrhythmic substrate; propagating wavefront dynamics; reentrant activity; self-sustained propagation; simulation model; sphere monolayer; stochastic algorithm; wave propagation pattern; Atrial fibrillation; Computational modeling; Distribution functions; Graphical models; Propagation; Stochastic processes; Substrates;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cardiovascular Oscillations (ESGCO), 2014 8th Conference of the European Study Group on
  • Conference_Location
    Trento
  • Type

    conf

  • DOI
    10.1109/ESGCO.2014.6847528
  • Filename
    6847528