ArticleComputer methods in applied mechanics and engineering2017
The importance of mechano-electrical feedback and inertia in cardiac electromechanics.
Article in Computer methods in applied mechanics and engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Effects of Purkinje Fiber Conduction Block on Cardiac Pump Function: Computational Modeling Study.Bioengineering (Basel, Switzerland) · 2026Article
- Article
- Assessing post-TAVR cardiac conduction abnormalities risk using an electromechanically coupled beating heart.Biomechanics and modeling in mechanobiology · 2025Article
- Intelligent in-cell electrophysiology: Reconstructing intracellular action potentials using a physics-informed deep learning model trained on nanoelectrode array recordings.Nature communications · 2025Article
- Effects of cardiac growth on electrical dyssynchrony in the single ventricle patient.Computer methods in biomechanics and biomedical engineering · 2024Article
- How viscous is the beating heart?: Insights from a computational study.Computational mechanics · 2022Article
- Precision medicine in human heart modeling : Perspectives, challenges, and opportunities.Biomechanics and modeling in mechanobiology · 2021Review
- A Fully-Coupled Electro-Mechanical Whole-Heart Computational Model: Influence of Cardiac Contraction on the ECG.Frontiers in physiology · 2021Article
- Computationally efficient model of myocardial electromechanics for multiscale simulations.PloS one · 2021Article
- In-silico study of the cardiac arrhythmogenic potential of biomaterial injection therapy.Scientific reports · 2020Article
- Computational prediction of the effect of D172N KCNJ2 mutation on ventricular pumping during sinus rhythm and reentry.Medical & biological engineering & computing · 2020Article
- Sensitivity analysis of a strongly-coupled human-based electromechanical cardiac model: Effect of mechanical parameters on physiologically relevant biomarkers.Computer methods in applied mechanics and engineering · 2020Article
- An orthotropic electro-viscoelastic model for the heart with stress-assisted diffusion.Biomechanics and modeling in mechanobiology · 2020Article
- Predicting critical drug concentrations and torsadogenic risk using a multiscale exposure-response simulator.Progress in biophysics and molecular biology · 2019Article
- A Contemporary Look at Biomechanical Models of Myocardium.Annual review of biomedical engineering · 2019Review
- Machine learning in drug development: Characterizing the effect of 30 drugs on the QT interval using Gaussian process regression, sensitivity analysis, and uncertainty quantification.Computer methods in applied mechanics and engineering · 2019Article
- Interaction of the Mechano-Electrical Feedback With Passive Mechanical Models on a 3D Rat Left Ventricle: A Computational Study.Frontiers in physiology · 2019Article
- Predicting the cardiac toxicity of drugs using a novel multiscale exposure-response simulator.Computer methods in biomechanics and biomedical engineering · 2018Article
- Interpreting Activation Mapping of Atrial Fibrillation: A Hybrid Computational/Physiological Study.Annals of biomedical engineering · 2018Article
- Semi-implicit Non-conforming Finite-Element Schemes for Cardiac Electrophysiology: A Framework for Mesh-Coarsening Heart Simulations.Frontiers in physiology · 2018Article
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4 authors.
Funding
Abstract
In the past years, a number cardiac electromechanics models have been developed to better understand the excitation-contraction behavior of the heart. However, there is no agreement on whether inertial forces play a role in this system. In this study, we assess the influence of mass in electromechanical simulations, using a fully coupled finite element model. We include the effect of mechano-electrical feedback via stretch activated currents. We compare five different models: electrophysiology, electromechanics, electromechanics with mechano-electrical feedback, electromechanics with mass, and electromechanics with mass and mechano-electrical feedback. We simulate normal conduction to study conduction velocity and spiral waves to study fibrillation. During normal conduction, mass in conjunction with mechano-electrical feedback increased the conduction velocity by 8.12% in comparison to the plain electrophysiology case. During the generation of a spiral wave, mass and mechano-electrical feedback generated secondary wavefronts, which were not present in any other model. These secondary wavefronts were initiated in tensile stretch regions that induced electrical currents. We expect that this study will help the research community to better understand the importance of mechanoelectrical feedback and inertia in cardiac electromechanics.
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