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research-article

A Hybrid Experimental-Computational Modeling Framework For Cardiovascular Device Testing

[+] Author and Article Information
Ethan Kung

Dept. of Mechanical Engineering, Clemson University, SC, USA., Dept. of Bioengineering, Clemson University, SC, USA., Fluor Daniel Building, Clemson University, Clemson, SC 29634-0921, Ph: (864) 656-5623
ekung@clemson.edu

Masoud Farahmand

Dept. of Mechanical Engineering, Clemson University, SC, USA., Fluor Daniel Building, Clemson University, Clemson, SC 29634-0921, Ph: (864) 656-2482
mfarahm@g.clemson.edu

Akash Gupta

Dept. of Mechanical Engineering, Clemson University, SC, USA., Fluor Daniel Building, Clemson University, Clemson, SC 29634-0921, Ph: (864) 656-2482
akashg@g.clemson.edu

1Corresponding author.

ASME doi:10.1115/1.4042665 History: Received October 12, 2018; Revised January 24, 2019

Abstract

Significant advances in biomedical science often leverage powerful computational and experimental modeling platforms. We present a framework named "PSCOPE" that can capitalize the strengths of both types of platforms in a 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 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% ~ 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.

Copyright (c) 2019 by ASME
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