• DocumentCode
    541574
  • Title

    Atrial fibrillation-based electrical remodeling in a computer model of the human atrium

  • Author

    Seemann, Gunnar ; Bustamante, Paola Carrillo ; Ponto, Stefan ; Wilhelms, Mathias ; Scholz, Eberhard P. ; Dössel, Olaf

  • Author_Institution
    Karlsruhe Inst. of Technol., Karlsruhe, Germany
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    417
  • Lastpage
    420
  • Abstract
    Atrial fibrillation (AF) is a common pathology. AF modifies the electrophysiological properties of cells (remodeling) promoting the occurrence and maintenance of AF. Electrical remodeling includes changes in ICa,L, Ito, IK1 and IK,ACh.These effects were integrated in a human atrial computer model. Gap junction remodeling was considered in the conductivity of the monodomain equation calculating excitation. Specific features were calculated to determine the risk of AF initiation and perpetuation. ERP was reduced from 330ms to 103ms. CV was low ered from 755mm/s to 608mm/s. The WL reduction was even higher (from 249mm to 63mm) leading to a higher probability of occurrence and maintenance of AF. A maximum of 7 spirals waves were initiated leading to apeak in the power spectrum at 10.32Hz. The computer model underlines the relevance of remodeling in AF chronification. The results add to the knowledge of AF maintenance. Our model might prove to be a tool for the development of novel therapeutic strategies.
  • Keywords
    bioelectric phenomena; cardiology; diseases; medical computing; physiological models; AF chronification; ERP; atrial fibrillation; cells; electrical remodeling; electrophysiological properties; gap junction remodeling; human atrial computer model; human atrium; time 103 ms; time 330 ms; Cardiology; Computational modeling; Computers; Heart; Humans; Maintenance engineering; Mathematical model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing in Cardiology, 2010
  • Conference_Location
    Belfast
  • ISSN
    0276-6547
  • Print_ISBN
    978-1-4244-7318-2
  • Type

    conf

  • Filename
    5737998