Parameter Identification of a Cardiovascular Model for the Estimation of Ventricular Pressure on Aortic Stenosis - Archive ouverte HAL Access content directly
Conference Papers Year : 2019

Parameter Identification of a Cardiovascular Model for the Estimation of Ventricular Pressure on Aortic Stenosis

Abstract

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.
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Dates and versions

hal-02535131 , version 1 (07-04-2020)

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K.P. Owashi, A. Hubert, Elena Galli, Erwan Donal, A.I. Hernandez, et al.. Parameter Identification of a Cardiovascular Model for the Estimation of Ventricular Pressure on Aortic Stenosis. 2019 Computing in Cardiology, CinC 2019, Sep 2019, Singapore, Singapore. pp.9005664, ⟨10.23919/CinC49843.2019.9005664⟩. ⟨hal-02535131⟩
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