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.
A Hybrid Experimental-Computational Modeling Framework for Cardiovascular Device Testing
Clemson, SC 29634;
Clemson, SC 29634
Manuscript received October 12, 2018; final manuscript received January 24, 2019; published online March 27, 2019. Assoc. Editor: Keefe B. Manning.
Kung, E., Farahmand, M., and Gupta, A. (March 27, 2019). "A Hybrid Experimental-Computational Modeling Framework for Cardiovascular Device Testing." ASME. J Biomech Eng. May 2019; 141(5): 051012. https://doi.org/10.1115/1.4042665
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