Parameter subset reduction for patient-specific modelling of arrhythmogenic cardiomyopathy-related mutation carriers in the CircAdapt model.
CircAdapt
Morris screening method
arrhythmogenic cardiomyopathy
parameter subset reduction
particle swarm optimization
quasi-Monte Carlo
Journal
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
ISSN: 1471-2962
Titre abrégé: Philos Trans A Math Phys Eng Sci
Pays: England
ID NLM: 101133385
Informations de publication
Date de publication:
12 Jun 2020
12 Jun 2020
Historique:
entrez:
26
5
2020
pubmed:
26
5
2020
medline:
2
3
2021
Statut:
ppublish
Résumé
Arrhythmogenic cardiomyopathy (AC) is an inherited cardiac disease, clinically characterized by life-threatening ventricular arrhythmias and progressive cardiac dysfunction. Patient-specific computational models could help understand the disease progression and may help in clinical decision-making. We propose an inverse modelling approach using the CircAdapt model to estimate patient-specific regional abnormalities in tissue properties in AC subjects. However, the number of parameters (
Identifiants
pubmed: 32448061
doi: 10.1098/rsta.2019.0347
pmc: PMC7287326
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
20190347Références
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