Back to Search Start Over

Sensitivity analysis of ventricular activation and electrocardiogram in tailored models of heart-failure patients

Authors :
Angelo Auricchio
Frits W. Prinzen
Enrico G. Caiani
Francesco Maffessanti
Rolf Krause
Gabriele D'Ambrosio
Carlos Sánchez
Mark Potse
University of Zurich
Sánchez, C
Center for Computational Medicine in Cardiology [Lugano]
Università della Svizzera italiana = University of Italian Switzerland (USI)
Cardiocentro Ticino [Lugano]
Universität Zürich [Zürich] = University of Zurich (UZH)
Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB)
Politecnico di Milano [Milan] (POLIMI)
Maastricht University [Maastricht]
Faculty of Informatics [Lugano]
IHU-LIRYC
Université Bordeaux Segalen - Bordeaux 2-CHU Bordeaux [Bordeaux]
Modélisation et calculs pour l'électrophysiologie cardiaque (CARMEN)
Institut de Mathématiques de Bordeaux (IMB)
Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Inria Bordeaux - Sud-Ouest
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-IHU-LIRYC
Université Bordeaux Segalen - Bordeaux 2-CHU Bordeaux [Bordeaux]-CHU Bordeaux [Bordeaux]
Swiss National Supercomputing Centre (CSCS) project ID s598
Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1 (UB)-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1 (UB)-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Inria Bordeaux - Sud-Ouest
Fysiologie
RS: CARIM - R2.08 - Electro mechanics
Biomedische Technologie
Source :
Medical & Biological Engineering & Computing, Medical and Biological Engineering and Computing, Medical and Biological Engineering and Computing, Springer Verlag, 2018, 56, pp.491-504. ⟨10.1007/s11517-017-1696-9⟩, Medical and Biological Engineering and Computing, 2018, 56, pp.491-504. ⟨10.1007/s11517-017-1696-9⟩, Medical & Biological Engineering & Computing, 56(3), 491-504. Springer, Zaguán. Repositorio Digital de la Universidad de Zaragoza, instname
Publication Year :
2018
Publisher :
Springer, 2018.

Abstract

International audience; Cardiac resynchronization therapy is not effective in a variable proportion of heart failure patients. An accurate knowledge of each patient's electroanatomical features could be helpful to determine the most appropriate treatment. The goal of this study was to analyze and quantify the sensitivity of left ventricular (LV) activation and the electrocardiogram (ECG) to changes in 39 parameters used to tune realistic anatomical-electrophysiological models of the heart. Electrical activity in the ventricles was simulated using a reaction-diffusion equation. To simulate cellular electrophysiology, the Ten Tusscher-Panfilov 2006 model was used. Intracardiac electrograms and 12-lead ECGs were computed by solving the bidomain equation. Parameters showing the highest sensitivity values were similar in the six patients studied. QRS complex and LV activation times were modulated by the sodium current, the cell surface-to-volume ratio in the LV, and tissue conductivities. The T-wavewas modulated by the calcium and rectifier-potassium currents, and the cell surface-to-volume ratio in both ventricles. We conclude that homogeneous changes in ionic currents entail similar effects in all ECG leads, whereas the effects of changes in tissue properties show larger inter-lead variability. The effects of parameter variations are highly consistent between patients and most of the model tuning could be performed with only ~10 parameters.

Details

Language :
English
ISSN :
17410444 and 01400118
Volume :
56
Issue :
3
Database :
OpenAIRE
Journal :
Medical & Biological Engineering & Computing
Accession number :
edsair.doi.dedup.....652acd117ed7a2a49b5a471fb6bc288d