A mathematical model of the cardiovascular system under graded exercise levels

Wang, L; Zhang, Y; Guo, Y; Nguyen, N; Zhang, D; Celler, BG

A mathematical model of the cardiovascular system under graded exercise levels

Wang, L Zhang, Y Guo, Y Nguyen, N

Zhang, D Celler, BG

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Publication Type:: Journal Article
Citation:: International Journal of Bioinformatics Research and Applications, 2012, 8 (5-6), pp. 455 - 473
Issue Date:: 2012-10-01

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Field	Value	Language
dc.contributor.author	Wang, L	en_US
dc.contributor.author	Zhang, Y	en_US
dc.contributor.author	Guo, Y	en_US
dc.contributor.author	Nguyen, N https://orcid.org/0000-0002-9958-9876	en_US
dc.contributor.author	Zhang, D	en_US
dc.contributor.author	Celler, BG	en_US
dc.date.issued	2012-10-01	en_US
dc.identifier.citation	International Journal of Bioinformatics Research and Applications, 2012, 8 (5-6), pp. 455 - 473	en_US
dc.identifier.issn	1744-5485	en_US
dc.identifier.uri	http://hdl.handle.net/10453/23077
dc.description.abstract	This paper presents a nonlinear cardiovascular model for the study of cardiovascular response during graded exercise. There are two major innovations embedded in this model. Firstly, by tuning only three parameters, all major cardiovascular variables were accurately reproduced. Secondly, a robust and efficient function, which was built up using Support Vector Machine Regression, was added to the model to estimate metabolic demand. Experimental results for ten untrained males indicated that the established model is accurate in the sense that its predicted output was in good agreement with the measured data. Copyright © 2012 Inderscience Enterprises Ltd.	en_US
dc.relation.ispartof	International Journal of Bioinformatics Research and Applications	en_US
dc.relation.isbasedon	10.1504/IJBRA.2012.049627	en_US
dc.subject.classification	Bioinformatics	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Cardiac Output	en_US
dc.subject.mesh	Exercise Test	en_US
dc.subject.mesh	Exercise	en_US
dc.subject.mesh	Heart Rate	en_US
dc.subject.mesh	Models, Cardiovascular	en_US
dc.subject.mesh	Adult	en_US
dc.subject.mesh	Male	en_US
dc.subject.mesh	Cardiovascular Physiological Phenomena	en_US
dc.subject.mesh	Young Adult	en_US
dc.subject.mesh	Support Vector Machine	en_US
dc.title	A mathematical model of the cardiovascular system under graded exercise levels	en_US
dc.type	Journal Article
utslib.citation.volume	5-6	en_US
utslib.citation.volume	8	en_US
utslib.for	0199 Other Mathematical Sciences	en_US
utslib.for	01 Mathematical Sciences	en_US
utslib.for	06 Biological Sciences	en_US
utslib.for	08 Information and Computing Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access
pubs.issue	5-6	en_US
pubs.publication-status	Published	en_US
pubs.volume	8	en_US

Abstract:

This paper presents a nonlinear cardiovascular model for the study of cardiovascular response during graded exercise. There are two major innovations embedded in this model. Firstly, by tuning only three parameters, all major cardiovascular variables were accurately reproduced. Secondly, a robust and efficient function, which was built up using Support Vector Machine Regression, was added to the model to estimate metabolic demand. Experimental results for ten untrained males indicated that the established model is accurate in the sense that its predicted output was in good agreement with the measured data. Copyright © 2012 Inderscience Enterprises Ltd.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/23077