Literature DB >> 19373557

Synchronizing computer simulations with measurement data for a case of atrial flutter.

Glenn T Lines1, Mary C MacLachlan, Svein Linge, Aslak Tveito.   

Abstract

Atrial flutter is a common supraventricular tachycardia that can be treated using radiofrequency catheter ablation, a procedure that is guided by electroanatomical mapping systems. In this paper, we propose an algorithm for incorporating mapping data into computer simulations of atrial electrical activity with the purpose of creating a more accurate map of electrical activation. The algorithm takes as input the extracellular potential values recorded at a number of sites throughout the atria and estimates the activation time for the entire atrial domain. We test the algorithm using synthetic mapping data and an anatomically detailed atrial geometry with an activation pattern typical of atrial flutter. The results show that the algorithm performs well with synthetic mapping data with information from relatively few mapping sites and in the presence of modeling and measurement error.

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Year:  2009        PMID: 19373557     DOI: 10.1007/s10439-009-9692-3

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  3 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.  Estimating the time scale and anatomical location of atrial fibrillation spontaneous termination in a biophysical model.

Authors:  Laurent Uldry; Vincent Jacquemet; Nathalie Virag; Lukas Kappenberger; Jean-Marc Vesin
Journal:  Med Biol Eng Comput       Date:  2012-01-21       Impact factor: 2.602

3.  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

  3 in total

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