%0 Conference Paper %F Oral %T Parameter Identification of a Cardiovascular Model for the Estimation of Ventricular Pressure on Aortic Stenosis %+ Laboratoire Traitement du Signal et de l'Image (LTSI) %A Owashi, K.P. %A Hubert, A. %A Galli, Elena %A Donal, Erwan %A Hernandez, A.I. %A Le Rolle, V. %Z Agence Nationale de la Recherche, ANRAgence Nationale de la Recherche, ANR %< avec comité de lecture %B 2019 Computing in Cardiology, CinC 2019 %C Singapore, Singapore %I IEEE Computer Society %V 2019-September %P 9005664 %8 2019-09-08 %D 2019 %R 10.23919/CinC49843.2019.9005664 %K Blood vessels %K Cardiology %K Diseases %K Mean square error %K Valves (mechanical) %K Cardiac electrical activity %K Cardiovascular models %K Identification strategies %K Leave-one-out cross validations %K Model-based estimation %K Noninvasive estimation %K Root mean square errors %K Ventricular pressure %K Blood pressure %Z Life Sciences [q-bio]/BioengineeringConference papers %X This paper proposes a model-based estimation of left ventricular (LV) pressure and pressure-strain loops (PSL), adapted to patients with aortic stenosis (AS). We propose a model of the cardiovascular system composed of i) cardiac electrical activity, ii) elastance-based mechanical activity, iii) systemic and pulmonary circulations and iv) heart valves. An identification strategy was implemented using a leave-one-out cross validation approach in order to estimate patient-specific LV pressures for 4 patients suffering from AS. LV pressure curve is then used for the estimation of PSL. A close match was observed between experimental and simulated LV pressures for all 4 patients. The global root mean square error (RMSE) is equal to 20.34 (± 5.34) mmHg. RMSE for systolic and diastolic arterial pressures are respectively 0.89 (± 0.79) and 0.2370 (± 0.18) mmHg. Mean PSL areas calculated for experimental and model-based pressures are respectively 1965.6 ± 206.77 cm2 and 2206.4 ± 289.64 cm2. The proposed model-based method may be a useful tool to improve the noninvasive estimation of LV pressure and the characterization of LV function on patients with severe AS. © 2019 Creative Commons. %G English %L hal-02535131 %U https://univ-rennes.hal.science/hal-02535131 %~ UNIV-RENNES1 %~ LTSI %~ STATS-UR1 %~ UR1-HAL %~ UR1-MATH-STIC %~ TEST-UR-CSS %~ UNIV-RENNES %~ ANR %~ UR1-MATH-NUM %~ UR1-BIO-SA