Literature DB >> 14760920

Atrial excitation assuming uniform propagation.

Peter M van Dam1, Adriaan van Oosterom.   

Abstract

INTRODUCTION: We investigated the spread of the excitation wave over the atria following initiation in a given focus in an atrial model containing its overall geometry only, i.e., without atrial bundles. METHODS AND
RESULTS: The propagation velocity of the excitation wave was taken to be uniform, and the wall thickness was discarded. The timing of excitation of any point on the atrium thus becomes directly proportional to its shortest distance over the atrial wall to the focus. Despite these gross simplifications, the general nature of the excitation sequence found corresponded closely to clinical data reported in the literature. This suggests that the complex overall geometry of the atria dominates the timing of the excitation. A highly intriguing observation from this study was that, when looking at the pathways from the sinus node to all other points on the atrium, prominent routes became visible even though no such pathways formed part of the model of the atrial geometry used. The locations of these prominent routes coincide with those of various distinct bundles in the atria. Possible inferences of these observations are discussed.
CONCLUSION: Based upon comparison with data from other studies, it is concluded that, during stable heart rhythms, propagation of the atrial excitation wave is well approximated by an assumption of uniform velocity, even though no atrial bundles were included in the model. The overall geometry seems to be the dominant factor in the spread of excitation.

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Year:  2003        PMID: 14760920     DOI: 10.1046/j.1540.8167.90307.x

Source DB:  PubMed          Journal:  J Cardiovasc Electrophysiol        ISSN: 1045-3873


  8 in total

Review 1.  Computational modeling of the human atrial anatomy and electrophysiology.

Authors:  Olaf Dössel; Martin W Krueger; Frank M Weber; Mathias Wilhelms; Gunnar Seemann
Journal:  Med Biol Eng Comput       Date:  2012-06-21       Impact factor: 2.602

2.  Non-invasive imaging of cardiac activation and recovery.

Authors:  Peter M van Dam; Thom F Oostendorp; André C Linnenbank; Adriaan van Oosterom
Journal:  Ann Biomed Eng       Date:  2009-06-27       Impact factor: 3.934

Review 3.  The inverse problem of bioelectricity: an evaluation.

Authors:  Adriaan van Oosterom
Journal:  Med Biol Eng Comput       Date:  2012-07-28       Impact factor: 2.602

4.  Muscle Thickness and Curvature Influence Atrial Conduction Velocities.

Authors:  Simone Rossi; Stephen Gaeta; Boyce E Griffith; Craig S Henriquez
Journal:  Front Physiol       Date:  2018-10-29       Impact factor: 4.566

5.  Application of the fastest route algorithm in the interactive simulation of the effect of local ischemia on the ECG.

Authors:  Peter M van Dam; Thom F Oostendorp; Adriaan van Oosterom
Journal:  Med Biol Eng Comput       Date:  2008-09-03       Impact factor: 2.602

6.  Towards personalized clinical in-silico modeling of atrial anatomy and electrophysiology.

Authors:  Martin W Krueger; Walther H W Schulze; Kawal S Rhode; Reza Razavi; Gunnar Seemann; Olaf Dössel
Journal:  Med Biol Eng Comput       Date:  2012-10-16       Impact factor: 2.602

7.  Towards a model-based integration of co-registered electroencephalography/functional magnetic resonance imaging data with realistic neural population meshes.

Authors:  I Bojak; Thom F Oostendorp; Andrew T Reid; Rolf Kötter
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2011-10-13       Impact factor: 4.226

8.  Patient-Specific Identification of Atrial Flutter Vulnerability-A Computational Approach to Reveal Latent Reentry Pathways.

Authors:  Axel Loewe; Emanuel Poremba; Tobias Oesterlein; Armin Luik; Claus Schmitt; Gunnar Seemann; Olaf Dössel
Journal:  Front Physiol       Date:  2019-01-14       Impact factor: 4.566

  8 in total

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