A Hybrid Experimental-Computational Modeling Framework for Cardiovascular Device Testing.

bench top hardware-in-the-loop hybrid medical device mock loop numerical ventricular assist device verification

Journal

Journal of biomechanical engineering
ISSN: 1528-8951
Titre abrégé: J Biomech Eng
Pays: United States
ID NLM: 7909584

Informations de publication

Date de publication:
01 May 2019
Historique:
received: 12 10 2018
pubmed: 31 1 2019
medline: 31 1 2019
entrez: 31 1 2019
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 30698632
pii: 2723698
doi: 10.1115/1.4042665
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2019 by ASME.

Auteurs

Ethan Kung (E)

Department of Mechanical Engineering,Clemson University,Clemson, SC 29634.
Department of Bioengineering,Clemson University,Clemson, SC 29634e-mail: ekung@clemson.edu.

Masoud Farahmand (M)

Department of Mechanical Engineering,Clemson University,Clemson, SC 29634e-mail: mfarahm@g.clemson.edu.

Akash Gupta (A)

Department of Mechanical Engineering,Clemson University,Clemson, SC 29634e-mail: akashg@g.clemson.edu.

Classifications MeSH