ArticleEuropean journal of mechanics. A, Solids2014
The Living Heart Project: A robust and integrative simulator for human heart function.
Article in European journal of mechanics. A, Solids, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 146 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
146 citing papers in PubMed.
- Bladder Digital Twins for Neuromodulation: Current Platforms and a Roadmap to Closed-Loop Therapy.International neurourology journal · 2026Article
- First Clinical Results of Novel Haemodynamic Simulation Software for Patient-Specific Qp:Qs Quantification in Patients with Atrial Septal Defect Using Routine 2D Echocardiographic Data.Journal of clinical medicine · 2026Article
- Development and Initial Validation of the Novel Computational Method for Dynamic Intracardiac Blood Flow Evaluation.Diagnostics (Basel, Switzerland) · 2026Article
- Effects of Purkinje Fiber Conduction Block on Cardiac Pump Function: Computational Modeling Study.Bioengineering (Basel, Switzerland) · 2026Article
- A finite element computational framework coupling four-chamber heart mechanics with the systemic and pulmonary circulations.Research square · 2026Article
- Large Animal Models for Preclinical Evaluation of Heart Valve Prostheses, Left Ventricular Assist Devices and Total Artificial Hearts: A Narrative Review.Biomimetics (Basel, Switzerland) · 2026Review
- LAFOV PET as an enabling platform for pharmacokinetics-informed digital twins.Frontiers in medicine · 2026Article
- Article
- PersonalizedFrontiers in physiology · 2026Article
- Discovering dispersion: How robust is automated model discovery for human myocardial tissue?Biomechanics and modeling in mechanobiology · 2025Article
- Self-organizing network simulation of cardiac contraction dynamics.Chaos (Woodbury, N.Y.) · 2025Article
- Article
- Digital Twins in Personalized Medicine: Bridging Innovation and Clinical Reality.Journal of personalized medicine · 2025Review
- Article
- A consensus statement on the use of digital twins in medicine.NPJ digital medicine · 2025Article
- Democratizing cardiac imaging with an automated magnetic resonance exam.Research square · 2025Article
- Medical digital twins: enabling precision medicine and medical artificial intelligence.The Lancet. Digital health · 2025Review
- Multiscale modeling of drug-induced liver injury from organ to lobule.NPJ digital medicine · 2025Article
- Deep Learning-Based Estimation of Myocardial Material Parameters from Cardiac MRI.Bioengineering (Basel, Switzerland) · 2025Article
- AI-Powered Multimodal Modeling of Personalized Hemodynamics in Aortic Stenosis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
86 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The heart is not only our most vital, but also our most complex organ: Precisely controlled by the interplay of electrical and mechanical fields, it consists of four chambers and four valves, which act in concert to regulate its filling, ejection, and overall pump function. While numerous computational models exist to study either the electrical or the mechanical response of its individual chambers, the integrative electro-mechanical response of the whole heart remains poorly understood. Here we present a proof-of-concept simulator for a four-chamber human heart model created from computer topography and magnetic resonance images. We illustrate the governing equations of excitation-contraction coupling and discretize them using a single, unified finite element environment. To illustrate the basic features of our model, we visualize the electrical potential and the mechanical deformation across the human heart throughout its cardiac cycle. To compare our simulation against common metrics of cardiac function, we extract the pressure-volume relationship and show that it agrees well with clinical observations. Our prototype model allows us to explore and understand the key features, physics, and technologies to create an integrative, predictive model of the living human heart. Ultimately, our simulator will open opportunities to probe landscapes of clinical parameters, and guide device design and treatment planning in cardiac diseases such as stenosis, regurgitation, or prolapse of the aortic, pulmonary, tricuspid, or mitral valve.
Indexed as
Identifiers
What OpenQuestion holds
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.