Cargando…
Uncertainty Quantification of Regional Cardiac Tissue Properties in Arrhythmogenic Cardiomyopathy Using Adaptive Multiple Importance Sampling
Introduction: Computational models of the cardiovascular system are widely used to simulate cardiac (dys)function. Personalization of such models for patient-specific simulation of cardiac function remains challenging. Measurement uncertainty affects accuracy of parameter estimations. In this study,...
Autores principales: | van Osta, Nick, Kirkels, Feddo P., van Loon, Tim, Koopsen, Tijmen, Lyon, Aurore, Meiburg, Roel, Huberts, Wouter, Cramer, Maarten J., Delhaas, Tammo, Haugaa, Kristina H., Teske, Arco J., Lumens, Joost |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8514656/ https://www.ncbi.nlm.nih.gov/pubmed/34658923 http://dx.doi.org/10.3389/fphys.2021.738926 |
Ejemplares similares
-
Parameter subset reduction for patient-specific modelling of arrhythmogenic cardiomyopathy-related mutation carriers in the CircAdapt model
por: van Osta, Nick, et al.
Publicado: (2020) -
Electromechanical substrate characterization in arrhythmogenic cardiomyopathy using imaging-based patient-specific computer simulations
por: van Osta, Nick, et al.
Publicado: (2021) -
A Lumped Two-Compartment Model for Simulation of Ventricular Pump and Tissue Mechanics in Ischemic Heart Disease
por: Koopsen, Tijmen, et al.
Publicado: (2022) -
The added value of abnormal regional myocardial function for risk prediction in arrhythmogenic right ventricular cardiomyopathy
por: Kirkels, Feddo P, et al.
Publicado: (2023) -
Uncertainty in model‐based treatment decision support: Applied to aortic valve stenosis
por: Meiburg, Roel, et al.
Publicado: (2020)