ArticlePloS one2015
Bayesian Sensitivity Analysis of a Cardiac Cell Model Using a Gaussian Process Emulator.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 29 papers.
What it found
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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.
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Who cites it
29 citing papers in PubMed.
- Weaving the Digital Tapestry: Methods for Emulating Cohorts of Cardiac Digital Twins Using Gaussian Processes.Annals of biomedical engineering · 2026Article
- Article
- Computational modeling of cardiac electrophysiology and arrhythmogenesis: toward clinical translation.Physiological reviews · 2024Review
- Article
- 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
- Neural network emulation of the human ventricular cardiomyocyte action potential: a tool for more efficient computation in pharmacological studies.bioRxiv : the preprint server for biology · 2023Article
- A Quantitative Systems Pharmacology Perspective on the Importance of Parameter Identifiability.Bulletin of mathematical biology · 2022Article
- Bayesian Calibration of Electrophysiology Models Using Restitution Curve Emulators.Frontiers in physiology · 2021Article
- Variability in electrophysiological properties and conducting obstacles controls re-entry risk in heterogeneous ischaemic tissue.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2020Article
- Sensitivity and Uncertainty Analysis of Two Human Atrial Cardiac Cell Models Using Gaussian Process Emulators.Frontiers in physiology · 2020Article
- Data-Driven Uncertainty Quantification for Cardiac Electrophysiological Models: Impact of Physiological Variability on Action Potential and Spiral Wave Dynamics.Frontiers in physiology · 2020Article
- A Novel Computational Model of the Rabbit Atrial Cardiomyocyte With Spatial Calcium Dynamics.Frontiers in physiology · 2020Article
- Multiscale Modeling of Dyadic Structure-Function Relation in Ventricular Cardiac Myocytes.Biophysical journal · 2019Article
- Evaluating Parameter Uncertainty in a Simulation Model of Cancer Using Emulators.Medical decision making : an international journal of the Society for Medical Decision Making · 2019Article
- Computational models in cardiology.Nature reviews. Cardiology · 2019Review
- Comprehensive Uncertainty Quantification and Sensitivity Analysis for Cardiac Action Potential Models.Frontiers in physiology · 2019Article
- Uniqueness of local myocardial strain patterns with respect to activation time and contractility of the failing heart: a computational study.Biomedical engineering online · 2018Article
- Quantifying the effect of uncertainty in input parameters in a simplified bidomain model of partial thickness ischaemia.Medical & biological engineering & computing · 2018Article
- Sensitivity analysis of ventricular activation and electrocardiogram in tailored models of heart-failure patients.Medical & biological engineering & computing · 2018Article
- Description of the Human Atrial Action Potential Derived From a Single, Congruent Data Source: Novel Computational Models for Integrated Experimental-Numerical Study of Atrial Arrhythmia Mechanisms.Frontiers in physiology · 2018Article
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
Abstract
Models of electrical activity in cardiac cells have become important research tools as they can provide a quantitative description of detailed and integrative physiology. However, cardiac cell models have many parameters, and how uncertainties in these parameters affect the model output is difficult to assess without undertaking large numbers of model runs. In this study we show that a surrogate statistical model of a cardiac cell model (the Luo-Rudy 1991 model) can be built using Gaussian process (GP) emulators. Using this approach we examined how eight outputs describing the action potential shape and action potential duration restitution depend on six inputs, which we selected to be the maximum conductances in the Luo-Rudy 1991 model. We found that the GP emulators could be fitted to a small number of model runs, and behaved as would be expected based on the underlying physiology that the model represents. We have shown that an emulator approach is a powerful tool for uncertainty and sensitivity analysis in cardiac cell models.
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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.