ArticleFrontiers in physiology2018
Scalable and Accurate ECG Simulation for Reaction-Diffusion Models of the Human Heart.
Article in Frontiers in physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed, 79 citations in OpenAlex.
- A physics-informed eikonal model for simulating arrhythmias in the human heart in real-time.Nature communications · 2026Article
- Cardiac remodelling in type 2 diabetes: Pathophysiological mechanisms and opportunities for multiscale computational modelling and simulation.The Journal of physiology · 2026Review
- Body surface potential driven personalisation of electrophysiological digital twins in hypertrophic cardiomyopathy.PLoS computational biology · 2026Article
- Computer-aided characterization of the arrhythmogenic substrate after myocardial infarction.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2026Review
- An efficient end-to-end computational framework for the generation of ECG calibrated volumetric models of human atrial electrophysiology.Medical image analysis · 2026Article
- Computational Modeling of Cardiac Electrophysiology with Human Realistic Heart-Torso Model.Bioengineering (Basel, Switzerland) · 2025Article
- A computational study on the influence of antegrade accessory pathway location on the 12-lead electrocardiogram in Wolff-Parkinson-White syndrome.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2025Article
- BOATMAP: Bayesian Optimization Active Targeting for Monomorphic Arrhythmia Pace-mapping.Computers in biology and medicine · 2024Article
- Digital twinning of cardiac electrophysiology for congenital heart disease.Journal of the Royal Society, Interface · 2024Article
- Whole-heart computational modelling provides further mechanistic insights into ST-elevation in Brugada syndrome.International journal of cardiology. Heart & vasculature · 2024Article
- MedalCare-XL: 16,900 healthy and pathological synthetic 12 lead ECGs from electrophysiological simulations.Scientific data · 2023Article
- Non-invasive localization of post-infarct ventricular tachycardia exit sites to guide ablation planning: a computational deep learning platform utilizing the 12-lead electrocardiogram and intracardiac electrograms from implanted devices.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2023Article
- A smoothed boundary bidomain model for cardiac simulations in anatomically detailed geometries.PloS one · 2023Article
- Differences in ventricular wall composition may explain inter-patient variability in the ECG response to variations in serum potassium and calcium.Frontiers in physiology · 2023Article
- An automated near-real time computational method for induction and treatment of scar-related ventricular tachycardias.Medical image analysis · 2022Article
- Synchronization of repolarization after cardiac resynchronization therapy: A combined clinical and modeling study.Journal of cardiovascular electrophysiology · 2022Article
- A personalized real-time virtual model of whole heart electrophysiology.Frontiers in physiology · 2022Article
- A computational model of rabbit geometry and ECG: Optimizing ventricular activation sequence and APD distribution.PloS one · 2022Article
- Non-invasive estimation of QLV from the standard 12-lead ECG in patients with left bundle branch block.Frontiers in physiology · 2022Article
- Automated Framework for the Inclusion of a His-Purkinje System in Cardiac Digital Twins of Ventricular Electrophysiology.Annals of biomedical engineering · 2021Article
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Realistic electrocardiogram (ECG) simulation with numerical models is important for research linking cellular and molecular physiology to clinically observable signals, and crucial for patient tailoring of numerical heart models. However, ECG simulation with a realistic torso model is computationally much harder than simulation of cardiac activity itself, so that many studies with sophisticated heart models have resorted to crude approximations of the ECG. This paper shows how the classical concept of electrocardiographic lead fields can be used for an ECG simulation method that matches the realism of modern heart models. The accuracy and resource requirements were compared to those of a full-torso solution for the potential and scaling was tested up to 14,336 cores with a heart model consisting of 11 million nodes. Reference ECGs were computed on a 3.3 billion-node heart-torso mesh at 0.2 mm resolution. The results show that the lead-field method is more efficient than a full-torso solution when the number of simulated samples is larger than the number of computed ECG leads. While the initial computation of the lead fields remains a hard and poorly scalable problem, the ECG computation itself scales almost perfectly and, even for several hundreds of ECG leads, takes much less time than the underlying simulation of cardiac activity.
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