dc.contributor.author |
Safaei, Soroush |
en |
dc.contributor.author |
Blanco, Pablo J |
en |
dc.contributor.author |
Müller, Lucas O |
en |
dc.contributor.author |
Hellevik, Leif R |
en |
dc.contributor.author |
Hunter, Peter |
en |
dc.date.accessioned |
2018-11-01T20:23:13Z |
en |
dc.date.issued |
2018-01 |
en |
dc.identifier.citation |
Frontiers in physiology 9:148 Jan 2018 |
en |
dc.identifier.issn |
1664-042X |
en |
dc.identifier.uri |
http://hdl.handle.net/2292/43720 |
en |
dc.description.abstract |
We propose a detailed CellML model of the human cerebral circulation that runs faster than real time on a desktop computer and is designed for use in clinical settings when the speed of response is important. A lumped parameter mathematical model, which is based on a one-dimensional formulation of the flow of an incompressible fluid in distensible vessels, is constructed using a bond graph formulation to ensure mass conservation and energy conservation. The model includes arterial vessels with geometric and anatomical data based on the ADAN circulation model. The peripheral beds are represented by lumped parameter compartments. We compare the hemodynamics predicted by the bond graph formulation of the cerebral circulation with that given by a classical one-dimensional Navier-Stokes model working on top of the whole-body ADAN model. Outputs from the bond graph model, including the pressure and flow signatures and blood volumes, are compared with physiological data. |
en |
dc.format.medium |
Electronic-eCollection |
en |
dc.language |
eng |
en |
dc.relation.ispartofseries |
Frontiers in physiology |
en |
dc.rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. |
en |
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
en |
dc.rights.uri |
https://creativecommons.org/licenses/by/4.0/ |
en |
dc.title |
Bond Graph Model of Cerebral Circulation: Toward Clinically Feasible Systemic Blood Flow Simulations. |
en |
dc.type |
Journal Article |
en |
dc.identifier.doi |
10.3389/fphys.2018.00148 |
en |
pubs.begin-page |
148 |
en |
pubs.volume |
9 |
en |
dc.rights.holder |
Copyright: The authors |
en |
dc.identifier.pmid |
29551979 |
en |
pubs.publication-status |
Published |
en |
dc.rights.accessrights |
http://purl.org/eprint/accessRights/OpenAccess |
en |
pubs.subtype |
research-article |
en |
pubs.subtype |
Journal Article |
en |
pubs.elements-id |
732142 |
en |
pubs.org-id |
Bioengineering Institute |
en |
pubs.org-id |
ABI Associates |
en |
pubs.org-id |
Science |
en |
pubs.org-id |
Science Research |
en |
pubs.org-id |
Maurice Wilkins Centre (2010-2014) |
en |
dc.identifier.eissn |
1664-042X |
en |
pubs.record-created-at-source-date |
2018-03-20 |
en |
pubs.dimensions-id |
29551979 |
en |