Nonparametric modelling of VO<inf>2</inf> response to exercise

Ye, L; Argha, A; Celler, BG; Zhang, Y; Nguyen, HT; Su, SW

Nonparametric modelling of VO<inf>2</inf> response to exercise

Ye, L Argha, A

Celler, BG Zhang, Y Nguyen, HT

Su, SW

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2017, pp. 1525 - 1528
Issue Date:: 2017-09-13

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Field	Value	Language
dc.contributor.author	Ye, L	en_US
dc.contributor.author	Argha, A https://orcid.org/0000-0002-8276-9774	en_US
dc.contributor.author	Celler, BG	en_US
dc.contributor.author	Zhang, Y	en_US
dc.contributor.author	Nguyen, HT https://orcid.org/0000-0003-3373-8178	en_US
dc.contributor.author	Su, SW https://orcid.org/0000-0002-5720-8852	en_US
dc.date.issued	2017-09-13	en_US
dc.identifier.citation	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2017, pp. 1525 - 1528	en_US
dc.identifier.isbn	9781509028092	en_US
dc.identifier.issn	1557-170X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/115473
dc.description.abstract	© 2017 IEEE. This paper investigates the modelling of oxygen consumption (VO2) response to jogging exercise on treadmill. Unlike most of the previous methods, which often use simple parametric models, e.g., first order linear time invariant model, this study applied a nonparametric kernel based regularised method to estimate VO2 to address the ill-conditioned modelling problem and achieve accurate estimation. In particular, it is worthy to be noted that the selection of kernels will affect the results for different modelling scenarios. Therefore, in this research, both radial basis kernel and stable spline kernel were selected for testing. In order to select the favourable kernel for this system, a simulation related to VO2-jogging speed was carried out. The results of simulation indicated that spline kernel can achieve higher accuracy comparing to radial basis function kernel. Experimentally, the kernel based estimation method and spline kernel were tested using six participants. From the results, an average impulse response is obtained. It showed the VO2 estimation, based on the average finite impulse response, is fitted well to the six observations collected from the participants.	en_US
dc.relation.ispartof	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS	en_US
dc.relation.isbasedon	10.1109/EMBC.2017.8037126	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Exercise Test	en_US
dc.subject.mesh	Respiratory Function Tests	en_US
dc.subject.mesh	Exercise	en_US
dc.subject.mesh	Linear Models	en_US
dc.subject.mesh	Oxygen Consumption	en_US
dc.title	Nonparametric modelling of VO<inf>2</inf> response to exercise	en_US
dc.type	Conference Proceeding
utslib.for	0903 Biomedical Engineering	en_US
utslib.for	0906 Electrical and Electronic Engineering	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
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

© 2017 IEEE. This paper investigates the modelling of oxygen consumption (VO2) response to jogging exercise on treadmill. Unlike most of the previous methods, which often use simple parametric models, e.g., first order linear time invariant model, this study applied a nonparametric kernel based regularised method to estimate VO2 to address the ill-conditioned modelling problem and achieve accurate estimation. In particular, it is worthy to be noted that the selection of kernels will affect the results for different modelling scenarios. Therefore, in this research, both radial basis kernel and stable spline kernel were selected for testing. In order to select the favourable kernel for this system, a simulation related to VO2-jogging speed was carried out. The results of simulation indicated that spline kernel can achieve higher accuracy comparing to radial basis function kernel. Experimentally, the kernel based estimation method and spline kernel were tested using six participants. From the results, an average impulse response is obtained. It showed the VO2 estimation, based on the average finite impulse response, is fitted well to the six observations collected from the participants.

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http://hdl.handle.net/10453/115473