Key result
A p-adaptive hybridizable discontinuous Galerkin method reduced the average number of degrees of freedom by 95% compared to a nonadaptive model for a patient-specific cardiac cycle simulation.
Population
Computational models for cardiac electrophysiology simulations
Comparison
p-adaptive hybridizable discontinuous Galerkin… vs Nonadaptive models and fine low-order elements
Design
Other
Authors
Loading...
P-adaptivity may enable scalable cardiac simulations; extends numerical methods but leaves clinical translation open.
A novel p-adaptive HDG approach drastically reduces computational costs for cardiac electrophysiology simulations without sacrificing accuracy.
Hoermann et al. (2018) studied Cardiac electrophysiology. p-adaptive hybridizable discontinuous Galerkin (HDG) method vs. nonadaptive model was evaluated on average number of degrees of freedom. A p-adaptive hybridizable discontinuous Galerkin method reduced the average number of degrees of freedom by 95% compared to a nonadaptive model for a patient-specific cardiac cycle simulation.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: