Sensitivity Analysis and Parameter Identification of a Cardiovascular Model in Aortic Stenosis
Résumé
The objective of this study is to propose a model-based method, adapted to patients with severe aortic stenosis (AS), in order to reproduce left ventricle (LV) pressure and volume from patient specific data. A formal sensitivity analysis is proposed, focused on left ventricle volume and pressure. The most influent parameters of this analysis are then selected to be identified in a parameter identification strategy and provide a patient specific pressure curve. This was implemented on 3 AS patients and a close match was observed between experimental and simulated pressure and volume curves. The global root mean square error (RMSE) for pressure and volume curves are respectively 21.8 (pm 1.8) mmHg and 14.8 (pm 9.4)ml,. The model-based approach proposed shows promising results to generate accurate LV pressure and volume in AS case. © 2021 Creative Commons.
Mots clés
Blood pressure
Blood vessels
Cardiology
Mean square error
Parameter estimation
Sensitivity analysis
Aortic stenosis
Cardiovascular modelling
Identification strategies
Left ventricles
Model-based method
Parameters identification
Patient specific
Pressure curve
Specific pressure
Ventricle volumes
Diseases