ArticleComputer methods in biomechanics and biomedical engineering2014
Computational modelling of electrocardiograms: repolarisation and T-wave polarity in the human heart.
Article in Computer methods in biomechanics and biomedical engineering, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 37 citations in OpenAlex.
- A systematic review of explainable artificial intelligence and cardiac electrophysiological models addressing sports-related sudden cardiac death and arrest in adolescents and young adults.NPJ digital medicine · 2026Article
- Assessing post-TAVR cardiac conduction abnormalities risk using an electromechanically coupled beating heart.Biomechanics and modeling in mechanobiology · 2025Article
- Patient-specific finite element analysis of heart failure and the impact of surgical intervention in pulmonary hypertension secondary to mitral valve disease.Medical & biological engineering & computing · 2022Article
- Patient-Specific Analysis of Ascending Thoracic Aortic Aneurysm with the Living Heart Human Model.Bioengineering (Basel, Switzerland) · 2021Article
- Structural Responses of Integrated Parametric Aortic Valve in an Electro-Mechanical Full Heart Model.Annals of biomedical engineering · 2021Article
- 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
- 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
- Retrieving hidden atrial repolarization waves from standard surface ECGs.Biomedical engineering online · 2018Article
- Predicting the cardiac toxicity of drugs using a novel multiscale exposure-response simulator.Computer methods in biomechanics and biomedical engineering · 2018Article
- Semi-implicit Non-conforming Finite-Element Schemes for Cardiac Electrophysiology: A Framework for Mesh-Coarsening Heart Simulations.Frontiers in physiology · 2018Article
- The importance of mechano-electrical feedback and inertia in cardiac electromechanics.Computer methods in applied mechanics and engineering · 2017Article
- Generating Purkinje networks in the human heart.Journal of biomechanics · 2016Article
- Regional segmentation of ventricular models to achieve repolarization dispersion in cardiac electrophysiology modeling.International journal for numerical methods in biomedical engineering · 2015Article
- Simulation of Cardiac Arrhythmias Using a 2D Heterogeneous Whole Heart Model.Frontiers in physiology · 2015Article
- The Living Heart Project: A robust and integrative simulator for human heart function.European journal of mechanics. A, Solids · 2014Article
- Computational modeling of chemo-electro-mechanical coupling: a novel implicit monolithic finite element approach.International journal for numerical methods in biomedical engineering · 2013Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
Abstract
For more than a century, electrophysiologists, cardiologists and engineers have studied the electrical activity of the human heart to better understand rhythm disorders and possible treatment options. Although the depolarisation sequence of the heart is relatively well characterised, the repolarisation sequence remains a subject of great controversy. Here, we study regional and temporal variations in both depolarisation and repolarisation using a finite element approach. We discretise the governing equations in time using an unconditionally stable implicit Euler backward scheme and in space using a consistently linearised Newton-Raphson-based finite element solver. Through systematic parameter-sensitivity studies, we establish a direct relation between a normal positive T-wave and the non-uniform distribution of the controlling parameter, which we have termed refractoriness. To establish a healthy baseline model, we calibrate the refractoriness using clinically measured action potential durations at different locations in the human heart. We demonstrate the potential of our model by comparing the computationally predicted and clinically measured depolarisation and repolarisation profiles across the left ventricle. The proposed framework allows us to explore how local action potential durations on the microscopic scale translate into global repolarisation sequences on the macroscopic scale. We anticipate that our calibrated human heart model can be widely used to explore cardiac excitation in health and disease. For example, our model can serve to identify optimal pacing sites in patients with heart failure and to localise optimal ablation sites in patients with cardiac fibrillation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.