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

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dc.contributor.author Su, Steven en_US
dc.contributor.author Celler, Branko en_US
dc.contributor.author Savkin, Andrey en_US
dc.contributor.author Nguyen, Hung en_US
dc.contributor.author Cheng, Teddy en_US
dc.contributor.author Guo, Ying en_US
dc.contributor.author Wang, Lu en_US
dc.contributor.editor en_US
dc.date.accessioned 2010-05-28T09:49:32Z
dc.date.available 2010-05-28T09:49:32Z
dc.date.issued 2009 en_US
dc.identifier 2008007746 en_US
dc.identifier.citation Su Steven et al. 2009, 'Transient and steady state estimation of human oxygen uptake based on noninvasive portable sensor measurements', Springer Heidelberg, vol. 47, no. 10, pp. 1111-1117. en_US
dc.identifier.issn 0140-0118 en_US
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. en_US
dc.language en_US
dc.publisher Springer Heidelberg en_US
dc.relation.hasversion Accepted manuscript version
dc.relation.isbasedon http://dx.doi.org/10.1007/s11517-009-0534-0 en_US
dc.rights The original publication is available at www.springerlink.com
dc.title Transient and steady state estimation of human oxygen uptake based on noninvasive portable sensor measurements en_US
dc.parent Medical & Biological Engineering & Computing en_US
dc.journal.volume 47 en_US
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 090300 en_US
dc.personcode 997723 en_US
dc.personcode 100180 en_US
dc.personcode 0000027021 en_US
dc.personcode 840115 en_US
dc.personcode 0000035740 en_US
dc.personcode 0000028466 en_US
dc.personcode 0000028464 en_US
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.description.keywords Oxygen uptake; Portable sensors; Multivariable model; Nonlinear modeling; Support vector machine en_US


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