• DocumentCode
    429155
  • Title

    Simulation of atrial electrophysiology and body surface potentials for normal and abnormal rhythm

  • Author

    Seger, Michael ; Fischer, Gerald ; Modre, Robert ; Hanser, Friedrich ; Pfeifer, Bernhard ; Hintermüller, Christoph ; Roithinger, Franz Xaver ; Hintringer, Florian ; Trieb, Thomas ; Schocke, Michael ; Tilg, Bernhard

  • Author_Institution
    Med. Informatics & Technol., Univ. for Health Sci., Innsbruck, Austria
  • Volume
    1
  • fYear
    2004
  • fDate
    1-5 Sept. 2004
  • Firstpage
    817
  • Lastpage
    820
  • Abstract
    The effect of different atrial electrical activation sequences (sinus rhythm and atrial flutter circling in the right atrium) on the body surface potentials is investigated in this study. A realistic volume conductor model consisting of atria, lungs, chest and blood masses is generated from image stacks recorded by magnetic resonance imaging. The electrical sources-the transmembrane potentials-within the atrial volumetric model are simulated for different atrial rhythms employing a cellular automaton capable of considering different parameters depending on the specific properties of the tissues. The potentials on the torso surface are computed applying the finite element method for solving the differential equations derived from the bidomain theory. Both the simulated atrial activation patterns and the computed torso potentials for atrial sinus rhythm and atrial flutter are in qualitatively and quantitatively good agreement with data measured in humans. The simulation of body surface potentials generated by different electrical activation sequences in the atria or ventricles allows testing and assessing noninvasive imaging of cardiac electrophysiology, as both the potentials on the body surface and the reference activation in the heart are available.
  • Keywords
    bioelectric potentials; biomedical MRI; biomembranes; blood vessels; cellular automata; cellular biophysics; difference equations; electrocardiography; finite element analysis; medical computing; surface potential; Automata; Biological system modeling; Blood; Computational modeling; Conductors; Image generation; Lungs; Magnetic resonance imaging; Rhythm; Torso; Atrial flutter; body surface potentials; cellular automaton; forward problem of electrocardiography; sinus rhythm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    0-7803-8439-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2004.1403283
  • Filename
    1403283