Sensitivity Analysis and Parameter Identification of a Cardiovascular Model in Aortic Stenosis

M. Taconné, V. Rolle, K. Owashi, V. Panis, A. Hubert, V. Auffret, E. Galli, Alfredo I. Hernández, E. Donal
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Abstract

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.
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主动脉瓣狭窄心血管模型的敏感性分析及参数识别
本研究的目的是提出一种基于模型的方法,适用于严重主动脉瓣狭窄(AS)患者,以便从患者特定数据中重现左心室(LV)压力和容积。提出了一种以左心室容积和压力为中心的正式敏感性分析方法。然后在参数识别策略中选择该分析中影响最大的参数进行识别,并提供患者特定压力曲线。在3例AS患者中实施了这种方法,观察到实验和模拟的压力和体积曲线之间的密切匹配。压力和体积曲线的总体均方根误差(RMSE)分别为21.8美元(\pm 1.8)$ mmHg和14.8美元(\pm 9.4)ml$,。所提出的基于模型的方法在AS情况下可以得到准确的左室压力和容积。
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