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Vincent, Timothy A.; Wilson, A.; Hattersley, J. G.; Chappell, M. J.; Gardner, J. W. (2014)
Publisher: Elsevier
Journal: Procedia Engineering
Languages: English
Types: Article
Subjects: Engineering(all), RA
Breath-by-breath levels of O2 and CO2 may be used to determine human metabolic rate which, in turn, is related to the problem of obesity. A sensor system has been designed to not only monitor O2 and CO2 in breath, but also temperature, relative humidity (RH), volumetric flow-rate, and trace levels of CO. Our system targets energy expenditure measurements to within a 1% tolerance. A data driven modelling approach has been adopted to characterise the gas sensors at gas concentrations found in inhaled air and exhaled breath. Data were collected for model fitting from experiments performed on an automated gas testing rig. Bi-exponential curves were fitted to the sensor data using partial least squares (PLS) regression. These fits show that the O2 sensor functions close to the target accuracy, with a 95% confidence interval, whereas the CO2 sensor performs less well (70%). Development of a microcontroller interface combined with work on new low-power CMOS sensors will eventually lead to a miniature low-cost system for mobile phone application.\ud
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • [1] A. Hermann, M. Ried-Larsen, A. K. Jensen et al., Low validity of the Sensewear Pro3 activity monitor compared to indirect calorimetry , during simulated free living in patients with osteoarthritis of the hip, BMC Musculoskelet. Disord.,15 (2014) 43.
    • [2] J. Delany, D. Kelly, K. Hames et al., Effect of Physical Activity on Weight Loss, Energy Expenditure and Energy Intake During Diet Induced , Weight Loss, Obesity, 22 (2014) 363.
    • [3] D. Johannsen, N. Knuth, R. Huizenga et al., Metabolic Slowing with Massive Weight Loss despite Presevation of Fat-Free Mass, J. Clin. , Endocrinol. Metab., 97 (2012) 2486.
    • [4] K. Maday, Energy Estimation in the Critically Ill: A Literature Review, Univers. J. Clin. Med., 1 (2013) 39.
    • [5] H. J. McDermott, Air Monitoring for Toxic Exposures, John Wiley & Sons, 2004, pp. 687-689.
    • [6] K. Kant, Microprocessor-Based Agri Instrumentation, PHI Learning Pvt, 2010, pp. 58-60.
    • [7] R. P. McCall, Physics of the Human Body, JHU Press, 2010, pp. 117-118.
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