Marco Favino1, Sonia Pozzi2, Simone Pezzuto2, Frits W Prinzen3, Angelo Auricchio2,4, Rolf Krause2. 1. Center for Computational Medicine in Cardiology, Institute of Computational Science, Università della Svizzera Italiana, Via Giuseppe Buffi 13, Lugano CH-6900, Switzerland; marco.favino@usi.ch. 2. Center for Computational Medicine in Cardiology, Institute of Computational Science, Università della Svizzera Italiana, Via Giuseppe Buffi 13, Lugano CH-6900, Switzerland. 3. Department of Physiology, Cardiovascular Research Institute Maastricht (CARIM), Universiteitssingel 50, 6229 ER Maastricht, The Netherlands. 4. Division of Cardiology, Fondazione Cardiocentro Ticino, Via Tesserete 48, 6900 Lugano, Switzerland.
Abstract
AIMS: Electrophysiological simulations may help to investigate causes and possible treatments of ventricular conduction disturbances. Most electrophysiological models do not take into account that the heart moves during the cardiac cycle. We used an electro-mechanical model to study the effect of mechanical deformation on the results of electrophysiological simulations. METHODS AND RESULTS: Pseudo-electrocardiogram (ECG) were generated from the propagation of electrical signals in tissue slabs undergoing active mechanical deformation. We used the mono-domain equation for electrophysiology with the Bueno-Orovio ionic model and a fully incompressible Guccione-Costa hyperelastic law for the mechanics with the Nash-Panfilov model for the active force. We compared a purely electrophysiological approach (PE) with mono-directional (MD) and bi-directional (BD) electromechanical coupling strategies. The numerical experiments showed that BD and PE simulations led to different S- and T-waves. Mono-directional simulations generally approximated the BD ones, unless fibres were oriented along one short axis of the slab. When present, notching in the QRS-complex was larger in MD than in BD simulations. CONCLUSIONS: Tissue deformation has to be taken into account when estimating the S- and T-wave of the ECG in electrophysiological simulations. Published on behalf of the European Society of Cardiology. All rights reserved.
AIMS: Electrophysiological simulations may help to investigate causes and possible treatments of ventricular conduction disturbances. Most electrophysiological models do not take into account that the heart moves during the cardiac cycle. We used an electro-mechanical model to study the effect of mechanical deformation on the results of electrophysiological simulations. METHODS AND RESULTS: Pseudo-electrocardiogram (ECG) were generated from the propagation of electrical signals in tissue slabs undergoing active mechanical deformation. We used the mono-domain equation for electrophysiology with the Bueno-Orovio ionic model and a fully incompressible Guccione-Costa hyperelastic law for the mechanics with the Nash-Panfilov model for the active force. We compared a purely electrophysiological approach (PE) with mono-directional (MD) and bi-directional (BD) electromechanical coupling strategies. The numerical experiments showed that BD and PE simulations led to different S- and T-waves. Mono-directional simulations generally approximated the BD ones, unless fibres were oriented along one short axis of the slab. When present, notching in the QRS-complex was larger in MD than in BD simulations. CONCLUSIONS: Tissue deformation has to be taken into account when estimating the S- and T-wave of the ECG in electrophysiological simulations. Published on behalf of the European Society of Cardiology. All rights reserved.
Authors: Patricia Garcia-Canadilla; Jose F Rodriguez; Maria J Palazzi; Anna Gonzalez-Tendero; Patrick Schönleitner; Vedrana Balicevic; Sven Loncaric; Joost J F P Luiken; Mario Ceresa; Oscar Camara; Gudrun Antoons; Fatima Crispi; Eduard Gratacos; Bart Bijnens Journal: PLoS One Date: 2017-08-24 Impact factor: 3.240
Authors: F Levrero-Florencio; F Margara; E Zacur; A Bueno-Orovio; Z J Wang; A Santiago; J Aguado-Sierra; G Houzeaux; V Grau; D Kay; M Vázquez; R Ruiz-Baier; B Rodriguez Journal: Comput Methods Appl Mech Eng Date: 2020-04-01 Impact factor: 6.756