Literature DB >> 17271802

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

Michael Seger1, Gerald Fischer, Robert Modre, Friedrich Hanser, Bernhard Pfeifer, Christoph Hintermuller, Franz Xaver Roithinger, Florian Hintringer, Thomas Trieb, Michael Schocke, Bernhard Tilg.   

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.

Entities:  

Year:  2004        PMID: 17271802     DOI: 10.1109/IEMBS.2004.1403283

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  1 in total

1.  Correlation between P-wave morphology and origin of atrial focal tachycardia--insights from realistic models of the human atria and torso.

Authors:  Michael A Colman; Oleg V Aslanidi; Jonathan Stott; Arun V Holden; Henggui Zhang
Journal:  IEEE Trans Biomed Eng       Date:  2011-07-07       Impact factor: 4.538

  1 in total

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