Transient and steady state estimation of human oxygen uptake based on noninvasive portable sensor measurements

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dc.contributor.author Su, SW
dc.contributor.author Celler, BG
dc.contributor.author Savkin, AV
dc.contributor.author Nguyen, HT
dc.contributor.author Cheng, TM
dc.contributor.author Guo, Y
dc.contributor.author Wang, L
dc.date.accessioned 2010-05-28T09:49:32Z
dc.date.issued 2009
dc.identifier.citation Medical and Biological Engineering and Computing, 2009, 47 (10), pp. 1111 - 1117
dc.identifier.issn 0140-0118
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/9426
dc.description.abstract The main motivation of this study is to establish an ambulatory cardio-respiratory analysis system for the monitoring and evaluation of exercise and regular daily physical activity. We explored the estimation of oxygen uptake by using noninvasive portable sensors. These sensors are easy to use but may suffer from malfunctions under free living environments. A promising solution is to combine sensors with different measuring mechanisms to improve both reliability and accuracy of the estimation results. For this purpose, we selected a wireless heart rate sensor and a tri-axial accelerometer to form a complementary sensor platform. We analyzed the relationship between oxygen uptake measured by gas analysis and data collected from the simple portable sensors using multivariable nonlinear modeling approaches. It was observed that the resulting nonlinear multivariable model could not only achieve a better estimate compared with single input single output models, but also had greater potential to improve reliability. © International Federation for Medical and Biological Engineering 2009.
dc.language eng
dc.relation.hasversion Accepted manuscript version
dc.relation.isbasedon 10.1007/s11517-009-0534-0
dc.title Transient and steady state estimation of human oxygen uptake based on noninvasive portable sensor measurements
dc.type Journal Article
dc.parent Medical and Biological Engineering and Computing
dc.journal.volume 10
dc.journal.volume 47
dc.journal.number 10 en_US
dc.publocation Heidelberg en_US
dc.identifier.startpage 1111 en_US
dc.identifier.endpage 1117 en_US
dc.cauo.name FEIT.School of Elec, Mech and Mechatronic Systems en_US
dc.conference Verified OK en_US
dc.for 0903 Biomedical Engineering
dc.personcode 840115
dc.personcode 997723
dc.percentage 100 en_US
dc.classification.name Biomedical Engineering en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity ISI:000270895700011 en_US
dc.location.activity United States
dc.description.keywords Multivariable model
dc.description.keywords Nonlinear modeling
dc.description.keywords Oxygen uptake
dc.description.keywords Portable sensors
dc.description.keywords Support vector machine
pubs.embargo.period Not known
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 Elec, Mech and Mechatronic Systems
pubs.organisational-group /University of Technology Sydney/Strength - Health Technologies
utslib.copyright.status Open Access
utslib.copyright.date 2015-04-15 12:23:47.074767+10
pubs.consider-herdc true
utslib.collection.history General (ID: 2)


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