A Hybrid Experimental-Computational Modeling Framework for Cardiovascular Device Testing
A Hybrid Experimental-Computational Modeling Framework for Cardiovascular Device Testing
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DOI：
10.1115/1.4042665
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发表时间：
2019-05-01
影响因子：
1.7
通讯作者：
Gupta, Akash
中科院分区：
文献类型：
--
作者：
Kung, Ethan;Farahmand, Masoud;Gupta, Akash
生物医学科学的重大进展通常利用强大的计算和实验建模平台。我们提出了一个名为生理模拟耦合实验（“PSCOPE”）的框架，可以利用这两种类型的平台在一个单一的混合模型的优势。PSCOPE使用迭代方法将体外模拟电路耦合到生理学的集总参数数值模拟，获得两者之间的闭环反馈。我们首先比较了使用PSCOPE和已建立的多尺度计算流体动力学方法建模的Fontan移植物阻塞场景的结果;重要生理参数的归一化均方根误差值在0.1%和2.1%之间，证实了PSCOPE框架的保真度。接下来，我们展示了一个应用PSCOPE的例子，以模拟一个超出当前多尺度计算方法能力的场景--在单心室循环中植入Jarvik 2000血泵以支持腔静脉;我们发现，可以对商用Jarvik 2000控制器进行修改，以产生适当的转子速度，从而使心输出量增加约20%同时保持血压在安全范围内。统一的建模框架使测试环境能够同时操作医疗设备并执行所得到的生理学的计算模拟，从而提供用于物理测试具有模拟生理反馈的医疗设备的工具。
Significant advances in biomedical science often leverage powerful computational and experimental modeling platforms. We present a framework named physiology simulation coupled experiment ("PSCOPE") that can capitalize on the strengths of both types of platforms in a single hybrid model. PSCOPE uses an iterative method to couple an in vitro mock circuit to a lumped-parameter numerical simulation of physiology, obtaining closed-loop feedback between the two. We first compared the results of Fontan graft obstruction scenarios modeled using both PSCOPE and an established multiscale computational fluid dynamics method; the normalized root-mean-square error values of important physiologic parameters were between 0.1% and 2.1%, confirming the fidelity of the PSCOPE framework. Next, we demonstrate an example application of PSCOPE to model a scenario beyond the current capabilities of multiscale computational methods-the implantation of a Jarvik 2000 blood pump for cavopulmonary support in the single-ventricle circulation; we found that the commercial Jarvik 2000 controller can be modified to produce a suitable rotor speed for augmenting cardiac output by approximately 20% while maintaining blood pressures within safe ranges. The unified modeling framework enables a testing environment which simultaneously operates a medical device and performs computational simulations of the resulting physiology, providing a tool for physically testing medical devices with simulated physiologic feedback.