• DocumentCode
    2965544
  • Title

    Large-scale modeling of cardiac electrophysiology

  • Author

    Pormann, Jb ; Board, Ja ; Rose, Dj ; Henriquez, CS

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Duke Univ., Durham, NC, USA
  • fYear
    2002
  • fDate
    22-25 Sept. 2002
  • Firstpage
    259
  • Lastpage
    262
  • Abstract
    Simulation of wavefront propagation in the whole heart requires significant computational resources. The growth of cluster computing has made it possible to simulate very large scale problems in a lab environment. In this work, we present computational results of simulating a reaction diffusion system of equations of various sizes on a Beowulf cluster. To facilitate comparisons at different spatial resolutions, an idealized ventricular geometry was used. The model incorporates anisotropy, fiber rotation, and realistic membrane dynamics to determine the computational constraints for the most detailed situations of interest. Three meshes with mesh spacings of 378μm, 238μm, and 150μm, corresponding to roughly 1M, 4M, and 16M nodes in the computational domain, were considered. The results show that good parallel performance is possible on a cluster up to 32 processors.
  • Keywords
    bioelectric phenomena; cardiology; digital simulation; medical computing; parallel algorithms; physiological models; workstation clusters; Beowulf cluster; cardiac electrophysiology; cluster computing; computational constraints; fiber rotation; heart; idealized ventricular geometry; reaction diffusion system; realistic membrane dynamics; very large scale problems; wavefront propagation; Biomedical computing; Biomembranes; Cardiology; Computational geometry; Computational modeling; Concurrent computing; Equations; Heart; Large-scale systems; Workstations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology, 2002
  • ISSN
    0276-6547
  • Print_ISBN
    0-7803-7735-4
  • Type

    conf

  • DOI
    10.1109/CIC.2002.1166757
  • Filename
    1166757