Oxygen uptake estimation in humans during exercise using a Hammerstein model

Su, SW; Wang, L; Celler, BG; Savkin, AV

Oxygen uptake estimation in humans during exercise using a Hammerstein model

Su, SW

Wang, L Celler, BG Savkin, AV

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Publication Type:: Journal Article
Citation:: Annals of Biomedical Engineering, 2007, 35 (11), pp. 1898 - 1906
Issue Date:: 2007-11-01

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Field	Value	Language
dc.contributor.author	Su, SW https://orcid.org/0000-0002-5720-8852	en_US
dc.contributor.author	Wang, L	en_US
dc.contributor.author	Celler, BG	en_US
dc.contributor.author	Savkin, AV	en_US
dc.date.available	2007-07-27	en_US
dc.date.issued	2007-11-01	en_US
dc.identifier.citation	Annals of Biomedical Engineering, 2007, 35 (11), pp. 1898 - 1906	en_US
dc.identifier.issn	0090-6964	en_US
dc.identifier.uri	http://hdl.handle.net/10453/5803
dc.description.abstract	This paper aims to establish a block-structured model to predict oxygen uptake in humans during moderate treadmill exercises. To model the steady state relationship between oxygen uptake (oxygen consumption) and walking speed, six healthy male subjects walked on a motor driven treadmill with constant speed from 2 to 7 km/h. The averaged oxygen uptake at steady state (VO 2) was measured by a mixing chamber based gas analysis and ventilation measurement system (AEI Moxus Metabolic Cart). Based on these reliable date, a nonlinear steady state relationship was successfully established using Support Vector Regression methods. In order to capture the dynamics of oxygen uptake, the treadmill velocity was modulated using a Pseudo Random Binary Signal (PRBS) input. Breath by breath analysis of all subjects was performed. An ARX model was developed to accurately reproduce the measured oxygen uptake dynamics within the aerobic range. Finally, a Hammerstein model was developed, which may be useful for implementing a control system for the regulation of oxygen uptake during treadmill exercises. © 2007 Biomedical Engineering Society.	en_US
dc.relation.ispartof	Annals of Biomedical Engineering	en_US
dc.relation.isbasedon	10.1007/s10439-007-9362-2	en_US
dc.subject.classification	Biomedical Engineering	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Oxygen	en_US
dc.subject.mesh	Exercise Test	en_US
dc.subject.mesh	Exercise	en_US
dc.subject.mesh	Walking	en_US
dc.subject.mesh	Linear Models	en_US
dc.subject.mesh	Oxygen Consumption	en_US
dc.subject.mesh	Adult	en_US
dc.subject.mesh	Male	en_US
dc.title	Oxygen uptake estimation in humans during exercise using a Hammerstein model	en_US
dc.type	Journal Article
utslib.citation.volume	11	en_US
utslib.citation.volume	35	en_US
utslib.for	090303 Biomedical Instrumentation	en_US
utslib.for	09 Engineering	en_US
utslib.for	11 Medical and Health Sciences	en_US
dc.location.activity	ISI:000250372400005	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
utslib.copyright.status	open_access
pubs.issue	11	en_US
pubs.publication-status	Published	en_US
pubs.volume	35	en_US

Abstract:

This paper aims to establish a block-structured model to predict oxygen uptake in humans during moderate treadmill exercises. To model the steady state relationship between oxygen uptake (oxygen consumption) and walking speed, six healthy male subjects walked on a motor driven treadmill with constant speed from 2 to 7 km/h. The averaged oxygen uptake at steady state (VO 2) was measured by a mixing chamber based gas analysis and ventilation measurement system (AEI Moxus Metabolic Cart). Based on these reliable date, a nonlinear steady state relationship was successfully established using Support Vector Regression methods. In order to capture the dynamics of oxygen uptake, the treadmill velocity was modulated using a Pseudo Random Binary Signal (PRBS) input. Breath by breath analysis of all subjects was performed. An ARX model was developed to accurately reproduce the measured oxygen uptake dynamics within the aerobic range. Finally, a Hammerstein model was developed, which may be useful for implementing a control system for the regulation of oxygen uptake during treadmill exercises. © 2007 Biomedical Engineering Society.

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http://hdl.handle.net/10453/5803