应用流固耦合技术初步了解运动对主动脉瓣卒中功的影响

Hamidreza Ghasemi Bahraseman, E. Languri, D. Espino, H. Shojaei, K. Hassani, Hossein Derakhshandeh
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引用次数: 2

摘要

左心室中风功是衡量左心室在整个心脏周期的射血过程中所做的功。本研究的目的是提出一个模型,通过在运动方案中使用流体-结构相互作用(FSI)模拟来数值评估健康受试者的中风工作。使用超声心动图成像技术计算主动脉瓣尺寸。采用任意拉格朗日-欧拉(ALE)网格进行了FSI模拟。边界条件由心室和主动脉侧的压力负荷确定。预计从每分钟60次到每分钟125次,中风工作量会增加121%,而超过每分钟125次的中风工作量不会增加太多。基于我们的脑卒中工作FSI结果的回归方程,并将其与临床数据进行比较,数值预测的脑卒中工作值与已发表的临床数据吻合良好。卒中工作的斜率变化为平均动脉压,运动方案为168.08 ml,比临床数据的平均斜率小12.2%。卒中工作的y轴截距变化为平均动脉压,而运动方案为-11186 mmHg。Ml,比临床数据的平均y轴截距小15%。我们对特定患者的结果表明,可以提出数值方法来预测不同心率下患者特定中风工作的良好估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Applied Fluid-Structure Interaction Technique to Initial Insight into the Effect of Exercise on the Aortic Valve Stroke Work
The left ventricular stroke work is a measure of the work done by the left ventricle during the ejection of blood throughout per cardiac cycle. The aim of this investigation was to propose a model to numerically evaluate the stroke work for a healthy subject by using a fluid-structure interaction (FSI) simulation during exercise protocol. Aortic valve dimensions were calculated using an imaging technique of echocardiography. An FSI simulation was performed using an Arbitrary Lagrangian-Eulerian (ALE) mesh. Boundary conditions were defined by pressure loads on ventricular and aortic sides. Stroke work was predicted to increase to 121% from 60 bpm to 125 bpm, and it did not increase much above 125 bpm. Based on derived regression equations of our FSI results for stroke work and comparing of them with clinical ones, numerically-predicted stroke work values are in good agreements with published clinical data. The slope of stroke work changes to mean arterial pressure, while exercise protocol, is 168.08 ml which is 12.2% less than the average slope of clinical data. The y-axis intercept of stroke work changes to mean arterial pressure, while exercise protocol, is -11186 mmHg.ml which is 15% less than the average y-axis intercept of clinical data. Our results for the specific patient show that numerical methods can be proposed to predict good estimates of patient specific stroke work at different heart rates.
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