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

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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.

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Acknowledgment

This work was supported by the Australian Research Council.

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Authors and Affiliations

  1. Key University Research Centre for Health Technologies, The Faculty of Engineering, University of Technology, Sydney, Australia

    Steven W. Su & Hung T. Nguyen

  2. Human Performance Group, Biomedical Systems Lab, School of Electrical Engineering and Telecommunications University of New South Wales, UNSW, Sydney, NSW, 2052, Australia

    Steven W. Su, Branko G. Celler, Andrey V. Savkin & Teddy M. Cheng

  3. Autonoumous Systems Lab, CSIRO ICT Center, Epping, Australia

    Ying Guo

  4. Cochlear Ltd., Lane Cove, NSW, 2066, Australia

    Lu Wang

Authors
  1. Steven W. Su
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  2. Branko G. Celler
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  3. Andrey V. Savkin
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  4. Hung T. Nguyen
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  5. Teddy M. Cheng
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  6. Ying Guo
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  7. Lu Wang
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Correspondence to Steven W. Su.

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Su, S.W., Celler, B.G., Savkin, A.V. et al. Transient and steady state estimation of human oxygen uptake based on noninvasive portable sensor measurements. Med Biol Eng Comput 47, 1111–1117 (2009). https://doi.org/10.1007/s11517-009-0534-0

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  • DOI: https://doi.org/10.1007/s11517-009-0534-0

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