• DocumentCode
    975221
  • Title

    Modeling Atrial Arrhythmias: Impact on Clinical Diagnosis and Therapies

  • Author

    Jacquemet, Vincent ; Kappenberger, Lukas ; Henriquez, Craig S.

  • Author_Institution
    Dept. of Biomed. Eng., Duke Univ., Durham, NC
  • Volume
    1
  • fYear
    2008
  • fDate
    6/30/1905 12:00:00 AM
  • Firstpage
    94
  • Lastpage
    114
  • Abstract
    Atrial arrhythmias are the most frequent sustained rhythm disorders in humans and often lead to severe complications such as heart failure and stroke. Despite the important insights provided by animal models into the mechanisms of atrial arrhythmias, direct translation of experimental findings to new therapies in patients has not been straightforward. With the advances in computer technology, large-scale electroanatomical computer models of the atria that integrate information from the molecular to organ scale have reached a level of sophistication that they can be used to interpret the outcome of experimental and clinical studies and aid in the rational design of therapies. This paper reviews the state-of-the-art of computer models of the electrical dynamics of the atria and discusses the evolving role of simulation in assisting the clinical diagnosis and treatment of atrial arrhythmias.
  • Keywords
    bioelectric phenomena; blood vessels; cardiology; diseases; patient diagnosis; patient treatment; atrial arrhythmias; clinical diagnosis; electrical dynamics; electroanatomical computer models; heart failure; patient therapy; rhythm disorders; stroke; Animal structures; Clinical diagnosis; Computational modeling; Computer simulation; Concurrent computing; Heart rate; Humans; Large scale integration; Medical treatment; Rhythm; Atrial arrhythmia; cardiac electrophysiology; computer modeling; fibrillation; Animals; Arrhythmias, Cardiac; Computer Simulation; Humans; Models, Cardiovascular; Therapy, Computer-Assisted;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Reviews in
  • Publisher
    ieee
  • ISSN
    1937-3333
  • Type

    jour

  • DOI
    10.1109/RBME.2008.2008242
  • Filename
    4664314