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
{"title":"Sensitivity Analysis and Parameter Identification of a Cardiovascular Model in Aortic Stenosis","authors":"M. Taconné, V. Rolle, K. Owashi, V. Panis, A. Hubert, V. Auffret, E. Galli, Alfredo I. Hernández, E. Donal","doi":"10.23919/cinc53138.2021.9662851","DOIUrl":null,"url":null,"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.","PeriodicalId":126746,"journal":{"name":"2021 Computing in Cardiology (CinC)","volume":"60 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 Computing in Cardiology (CinC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/cinc53138.2021.9662851","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

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.
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信