A data-driven reduced order model (ROM) based on a proper orthogonal decomposition-radial basis function (POD-RBF) approach is adopted in this paper for the analysis of blood flow dynamics in a patient-specific case of atrial fibrillation (AF). The full order model (FOM) is represented by incompressible Navier-Stokes equations, discretized with a finite volume (FV) approach. Both the Newtonian and the Casson's constitutive laws are employed. The aim is to build a computational tool able to efficiently and accurately reconstruct the patterns of relevant hemodynamics indices related to the stasis of the blood in a physical parametrization framework including the cardiac output in the Newtonian case and also the plasma viscosity and the hematocrit in the non-Newtonian one. Many FOM-ROM comparisons are shown to analyze the performance of our approach as regards errors and computational speed-up.
Keyphrases
- atrial fibrillation
- blood flow
- catheter ablation
- left atrial appendage
- heart failure
- left atrial
- oral anticoagulants
- direct oral anticoagulants
- percutaneous coronary intervention
- physical activity
- left ventricular
- emergency department
- coronary artery disease
- drug delivery
- pulmonary artery
- inferior vena cava
- coronary artery
- pulmonary hypertension
- ultrasound guided
- pulmonary arterial hypertension