Remember Me
Or use your Academic/Social account:


Or use your Academic/Social account:


You have just completed your registration at OpenAire.

Before you can login to the site, you will need to activate your account. An e-mail will be sent to you with the proper instructions.


Please note that this site is currently undergoing Beta testing.
Any new content you create is not guaranteed to be present to the final version of the site upon release.

Thank you for your patience,
OpenAire Dev Team.

Close This Message


Verify Password:
Verify E-mail:
*All Fields Are Required.
Please Verify You Are Human:
fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Vincent, Timothy A.; Wilson, A.; Hattersley, John G.; Chappell, M. J. (Michael 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.
  • No related research data.
  • No similar publications.

Share - Bookmark

Cite this article