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Nonlinear object-oriented modeling based optimal control of the heart: Performing precise preload manipulation maneuvers using a ventricular assist device

机译:基于非线性面向对象建模的心脏最佳控制:使用心室辅助设备执行精确的预负荷操纵操作

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This paper presents a simulation study of an optimal control approach being applied to control the volume trajectory of a heart's ventricle using a ventricular assist device (VAD). Usually VADs are used for heart failure therapy. However, in this study a novel VAD application within the context of animal trials will be investigated. Preload (the volume of blood within the ventricle just before the contraction) is an important determinant of heart function and therefore an interesting quantity to be manipulated in trials. To overcome limitations of classical preload manipulation techniques we propose to use a VAD to manipulate preload. The aim of this study will be to find the input trajectories for the VAD which are required to precisely hit specific preload values. Two different test scenarios were defined: the first scenario aims at resembling a traditional preload reduction technique. The second scenario defines a preload progression which is not possible to realize with traditional preload manipulation techniques. Besides the test scenarios, a comparison to experimentally obtained data is drawn. Object-oriented Modélica models of a simplified cardiovascular system and the VAD were developed to formulate a nonlinear optimal control problem. A fully open-source software tool-chain was used to automatically discretize the problem into a collocation scheme and to generate the necessary inputs for the nonlinear optimization solver. This tool-chain includes the software packages JModelica, CasADi and Ipopt. Object-oriented modeling in combination with the automated tool-chain allow for easy and fast modifications of the underlying models as well as the introduction of new objectives. Hence, the presented approach can easily be modified to be applied to other scopes of VAD and cardiovascular research.
机译:本文介绍了一种最佳控制方法的仿真研究,该方法已应用心室辅助设备(VAD)来控制心脏心室的体积轨迹。通常,VAD用于心力衰竭治疗。但是,在这项研究中,将研究在动物试验范围内的新型VAD应用程序。预紧力(紧接收缩前心室中的血液量)是心脏功能的重要决定因素,因此是在试验中需要控制的有趣量。为了克服传统预载操纵技术的局限性,我们建议使用VAD操纵预载。这项研究的目的是找到精确击中特定预载值所需的VAD输入轨迹。定义了两种不同的测试方案:第一种方案旨在类似于传统的减少预载技术。第二种情况定义了预加载进度,这是传统的预加载操作技术无法实现的。除测试方案外,还与实验获得的数据进行了比较。开发了简化的心血管系统和VAD的面向对象的Modélica模型,以制定非线性最优控制问题。完整的开源软件工具链用于自动将问题离散化为搭配方案,并为非线性优化求解器生成必要的输入。该工具链包括软件包JModelica,CasADi和Ipopt。面向对象的建模与自动工具链相结合,可以轻松,快速地修改基础模型,并引入新的目标。因此,可以轻松修改提出的方法,以应用于VAD和心血管研究的其他范围。

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