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Cited by 28Mechanical Circulatory Support DevicesCongenital Heart Disease StudiesElasticity and Material Modeling

The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.

A Hybrid Experimental-Computational Modeling Framework for Cardiovascular Device Testing

Kung, Ethan, Farahmand, Masoud, Gupta, Akash·2019·Journal of Biomechanical Engineering

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.

Overview

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Registry

Crossref · 10.1115/1.4042665

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35 of 35 references verified0 citation errors · 0 not checkable

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Citations

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Metadata

Authors
Kung, E., Farahmand, M., & Gupta, A.
Affiliations
Clemson University (US)
Corresponding author
Kung, Ethan
Venue
Journal of Biomechanical Engineering
Published
2019-03-27
Volume
141
Issue
5
ISSN
  • 0148-0731 (ISSN-L)
  • 1528-8951
OpenAlex
W2911676207
Cited by
28
References
35
Citations by year
2026: 2 · 2025: 7 · 2024: 2 · 2023: 4 · 2022: 5 · 2021: 1 · 2020: 3 · 2019: 4
FWCI
1.15
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Biomechanical Engineering (publishedVersion)
  • PubMed (publishedVersion)
  • TigerPrints (Clemson University) (submittedVersion)
Funders
  • American Heart Association (16SDG29850012)
  • National Science Foundation (1749017)
Topics
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Mechanical Circulatory Support Devices
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Congenital Heart Disease Studies
  • Physical Sciences › Engineering › Biomedical Engineering › Elasticity and Material Modeling
Keywords
closed-loop feedback, rotor speed control

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CoChat. (2026). Citation check: A Hybrid Experimental-Computational Modeling Framework for Cardiovascular Device Testing. https://app.cochat.ai/papers/10.1115/1.4042665
The paper
Kung, E., Farahmand, M., & Gupta, A. (2019). A Hybrid Experimental-Computational Modeling Framework for Cardiovascular Device Testing. Journal of Biomechanical Engineering. https://doi.org/10.1115/1.4042665

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.