ArticleIEEE transactions on bio-medical engineering2022
Global Sensitivity Analysis of Four Chamber Heart Hemodynamics Using Surrogate Models.
Article in IEEE transactions on bio-medical engineering, 2022. 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, 51 citations in OpenAlex.
- Effect of the Mitral Valve on the Intra Ventricular Hemodynamics.International journal for numerical methods in biomedical engineering · 2026Article
- Uncertainty should be the rule, not the exception: Integrating fibre orientation variability in cardiac electrophysiology modelling.The Journal of physiology · 2026Article
- Uncertainty quantification of conduction velocity in models of cardiac spread of activation.Medical & biological engineering & computing · 2026Article
- Sensitivity analysis of factors in a microfluidics CFD model of coagulation and cardiac applications.Biomechanics and modeling in mechanobiology · 2026Article
- Systematic computational assessment of atrial function impairment due to fibrotic remodeling in electromechanical properties.PLoS computational biology · 2025Article
- Coupling Models of Resistive Valves to Muscle Mechanics in Cardiac Fluid-Structure Interaction Simulations.International journal for numerical methods in biomedical engineering · 2025Article
- Article
- Computational modelling of biological systems now and then: revisiting tools and visions from the beginning of the century.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025Review
- 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
- Fast and accurate prediction of drug induced proarrhythmic risk with sex specific cardiac emulators.NPJ digital medicine · 2024Article
- Parameter subset reduction for imaging-based digital twin generation of patients with left ventricular mechanical discoordination.Biomedical engineering online · 2024Article
- The Use of Virtual Tissue Constructs That Include Morphological Variability to Assess the Potential of Electrical Impedance Spectroscopy to Differentiate between Thyroid and Parathyroid Tissues during Surgery.Sensors (Basel, Switzerland) · 2024Article
- The role of computational methods in cardiovascular medicine: a narrative review.Translational pediatrics · 2024Review
- Article
- Turbulent blood dynamics in the left heart in the presence of mitral regurgitation: a computational study based on multi-series cine-MRI.Biomechanics and modeling in mechanobiology · 2023Article
- Calibration of Cohorts of Virtual Patient Heart Models Using Bayesian History Matching.Annals of biomedical engineering · 2023Article
Corrections and comments
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Authors and funding
10 authors at 5 institutions in 3 countries.
Funding
Abstract
Computational Fluid Dynamics (CFD) is used to assist in designing artificial valves and planning procedures, focusing on local flow features. However, assessing the impact on overall cardiovascular function or predicting longer-term outcomes may requires more comprehensive whole heart CFD models. Fitting such models to patient data requires numerous computationally expensive simulations, and depends on specific clinical measurements to constrain model parameters, hampering clinical adoption. Surrogate models can help to accelerate the fitting process while accounting for the added uncertainty. We create a validated patient-specific four-chamber heart CFD model based on the Navier-Stokes-Brinkman (NSB) equations and test Gaussian Process Emulators (GPEs) as a surrogate model for performing a variance-based global sensitivity analysis (GSA). GSA identified preload as the dominant driver of flow in both the right and left side of the heart, respectively. Left-right differences were seen in terms of vascular outflow resistances, with pulmonary artery resistance having a much larger impact on flow than aortic resistance. Our results suggest that GPEs can be used to identify parameters in personalized whole heart CFD models, and highlight the importance of accurate preload measurements.
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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.