Document Type
Article
Publication Date
3-2019
Publication Title
Journal of Biomechanical Engineering
Volume
141
Issue
5
Publisher
ASME
DOI
https://doi.org/10.1115/1.4042665
Abstract
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.
Recommended Citation
Kung, E., Farahmand, M., and Gupta, A. "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
Comments
This manuscript has been published in the Journal of Biomechanical Engineering. Please find the published version here (note that a subscription is necessary to access this version):
https://asmedigitalcollection.asme.org/biomechanical/article-standard/141/5/051012/726246/A-Hybrid-Experimental-Computational-Modeling
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