Literature DB >> 9413870

Value of simulated body surface potential maps as templates in localizing sites of ectopic activation for radiofrequency ablation.

R Hren1, B M Horácek.   

Abstract

Body surface potential maps recorded during catheter pace mapping can facilitate the localization of the site of origin of ventricular tachycardia. In this study, we investigated the value of a realistic computer model of the human ventricular myocardium in generating body surface potential maps as templates for identifying sites of ectopic activation. Our model features an anatomically accurate geometry and an anisotropy due to transmural fibre rotation, that were reconstructed with a spatial resolution of 0.5 mm. It simulates the electrotonic interactions of cardiac cells by solving a nonlinear parabolic partial differential equation, but it behaves as a cellular automaton when the transmembrane potential exceeds the threshold value. We successfully validated our model by comparing the simulated activation sequences--described by isochronal maps, epicardial potential maps and body surface potential maps--with the measured sequences of epicardial and body surface maps reported in the literature. By systematically pacing the left ventricular and right ventricular endocardial surfaces in our ventricular model, we generated a database of 155 QRS-integral maps, which provides a high-resolution reference frame for localizing distinct endocardial pacing sites. This database promises to be a useful tool in improving the performance of catheter pace mapping used in combination with body surface potential mapping. Overall, the results demonstrate that our computer model of the human ventricular myocardium is well suited for complementing a database of QRS-integral maps obtained during clinical pace mapping and can help enhance the efficacy of the ablative treatment of ventricular arrhythmias.

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Year:  1997        PMID: 9413870     DOI: 10.1088/0967-3334/18/4/010

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  4 in total

1.  Assessment of spatial resolution of pace mapping when using body surface potentials.

Authors:  R Hren; B B Punske; G Stroink
Journal:  Med Biol Eng Comput       Date:  1999-07       Impact factor: 2.602

2.  Learning Domain Shift in Simulated and Clinical Data: Localizing the Origin of Ventricular Activation From 12-Lead Electrocardiograms.

Authors:  Mohammed Alawad; Linwei Wang
Journal:  IEEE Trans Med Imaging       Date:  2018-11-09       Impact factor: 10.048

3.  Body Surface Potential Mapping: Contemporary Applications and Future Perspectives.

Authors:  Jake Bergquist; Lindsay Rupp; Brian Zenger; James Brundage; Anna Busatto; Rob S MacLeod
Journal:  Hearts (Basel)       Date:  2021-11-05

4.  Accuracy of single-dipole inverse solution when localising ventricular pre-excitation sites: simulation study.

Authors:  R Hren; G Stroink; B M Horácek
Journal:  Med Biol Eng Comput       Date:  1998-05       Impact factor: 2.602

  4 in total

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