Experimental validation of a variational data assimilation procedure for estimating space-dependent cardiac conductivities

DOI10.1016/j.cma.2019.112615zbMath1441.74003OpenAlexW2974464050MaRDI QIDQ1989067

Alessandro Veneziani, Flavio H. Fenton, Simonetta Filippi, Alessio Gizzi, Alessandro Barone

Publication date: 24 April 2020

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cma.2019.112615

zbMATH Keywords

parameter identificationreaction-diffusiondata assimilationcardiac electrophysiologyoptical mappingcardiac conductivisties

Mathematics Subject Classification ID

Experimental work for problems pertaining to mechanics of deformable solids (74-05) Medical applications (general) (92C50) Biomechanical solid mechanics (74L15) Experimental work for problems pertaining to biology (92-05)

Related Items (8)

Efficient estimation of cardiac conductivities: a proper generalized decomposition approach ⋮ A fast computational model for the electrophysiology of the whole human heart ⋮ Reconstruction of flow domain boundaries from velocity data via multi-step optimization of distributed resistance ⋮ Key aspects for effective mathematical modelling of fractional-diffusion in cardiac electrophysiology: a quantitative study ⋮ A curvilinear isogeometric framework for the electromechanical activation of thin muscular tissues ⋮ Sensitivity of a data-assimilation system for reconstructing three-dimensional cardiac electrical dynamics ⋮ Editorial: Special issue on uncertainty quantification, machine learning, and data-driven modeling of biological systems ⋮ Robust data assimilation with noise: Applications to cardiac dynamics

Uses Software

• Trilinos
• LifeV

Cites Work

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