Influence of Torso Model Complexity on the Noninvasive Localization of Ectopic Ventricular Activity

Author:

Punshchykova Olena1,Švehlíková Jana2,Tyšler Milan12,Grünes Richard3,Sedova Ksenia1,Osmančík Pavel4,Žďárská Jana4,Heřman Dalibor4,Kneppo Peter1

Affiliation:

1. Department of Biomedical Technology, Faculty of Biomedical Engineering, Czech Technical University in Prague, nám. Sítná 3105, 27201, Kladno, Czech Republic

2. Institute of Measurement Science Slovak Academy of Sciences, Department of Biomeasurements, Dúbravská cesta, 9, 84104, Bratislava, Slovakia

3. Department of Biomedical Technology, Faculty of Biomedical Engineering, Czech Technical University in Prague,nám. Sítná 3105, 27201, Kladno, Czech Republic

4. 3rd Faculty of Medicine, Charles University and Cardiocenter, University Hospital Královské Vinohrady, Šrobárova, 50, 10034, Prague, Czech Republic

Abstract

Abstract Location of premature ectopic ventricular activity was assessed noninvasively in five patients using integral body surface potential maps and inverse solution in terms of a single dipole. Precision of the inverse solution was studied using three different torso models: homogeneous torso model, inhomogeneous torso model including lungs and heart ventricles and inhomogeneous torso model including lungs, heart ventricles and atria, aorta and pulmonary artery. More stable results were obtained using the homogeneous model. However, in some patients the location of the resulting dipole representing the focus of ectopic activity was shifted between solutions using the homogeneous and inhomogeneous models. Comparison of solutions with inhomogeneous torso models did not show significantly different dispersions, but localization of the focus was better when a torso model including atria and arteries was used. The obtained results suggest that presented noninvasive localization of the ectopic focus can be used to shorten the time needed for successful ablation and to increase its success rate.

Publisher

Walter de Gruyter GmbH

Subject

Instrumentation,Biomedical Engineering,Control and Systems Engineering

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