Literature DB >> 18002229

Computer based modeling of the congenital long-QT 2 syndrome in the Visible Man torso: from genes to ECG.

David U J Keller1, Gunnar Seemann, Daniel L Weiss, Dimitry Farina, Jörg Zehelein, Olaf Dössel.   

Abstract

The congenital long-QT syndrome is commonly associated with a high risk for polymorphic ventricular tachy-cardia and sudden cardiac death. This is probably due to an intensification of the intrinsic heterogeneities present in ventricular myocardium. Increasing the electrophysiological heterogeneities amplifies the dispersion of repolarization which directly affects the morphology of the T wave in the ECG. The aim of this work is to investigate the effects of LQT2, a specific subtype of the long-QT syndrome (LQTS), on the Body Surface Potential Maps (BSPM) and the ECG. In this context a three-dimensional, heterogeneous model of the human ventricles is used to simulate both physiological and pathological excitation propagation. The results are used as input for the forward calculation of the BSPM and ECG. Characteristic QT prolongation is simulated correctly. The main goal of this study is to prepare and evaluate a simulation environment that can be used prospectivley to find features in the ECG or the BSPM that are characteristic for the LQTS. Such features might be used to facilitate the identification of LQTS patients.

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Year:  2007        PMID: 18002229     DOI: 10.1109/IEMBS.2007.4352563

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  3 in total

1.  Interactive Simulation of the ECG: Effects of Cell Types, Distributions, Shapes and Duration.

Authors:  Jorge Ramirez Ortiz; Abouzar Kaboudian; Ilija Uzelac; Shahriar Iravanian; Elizabeth M Cherry; Flavio H Fenton
Journal:  Comput Cardiol (2010)       Date:  2022-01-10

2.  Cardiac anisotropy in boundary-element models for the electrocardiogram.

Authors:  Mark Potse; Bruno Dubé; Alain Vinet
Journal:  Med Biol Eng Comput       Date:  2009-03-21       Impact factor: 2.602

Review 3.  Mathematical modeling and simulation of ventricular activation sequences: implications for cardiac resynchronization therapy.

Authors:  Mark Potse
Journal:  J Cardiovasc Transl Res       Date:  2012-01-27       Impact factor: 4.132

  3 in total

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