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Estimation of oxygen consumption based on wireless wearable sensors

Project Member(s): Su, S.

Funding or Partner Organisation: Bai & Co Holdings Pty Ltd

Start year: 2015

Summary: With increasingly popular wearable devices around people for sport or health purpose, ubiquitously observing status of body is becoming more realistic. This project aims to develop a mobile phone app that can estimate and predict oxygen consumption for tourist during walking. The concept of this app is based on a data model that combines the IMU (Inertial measurement unit) of mobile phone (or a wearable device on wrist) and dataset of experiment from K4B2, a measurement unit for pulmonary gas exchange with true breath-by-breath analysis. Such breath data will be acquired during subjects whom carry K4B2 walking on treadmill. By monitoring phone or wearable device data, two dataset will be combining together for a data model. In further, as long as IMU data gathered, then an estimation of oxygen consumption will calculated by phone based on previously data model. This is a quite novel method to estimated human┬┐s breath. None of such research paper was found in database.

Publications:

Yu, H, Ye, L, Naik, GR, Song, R, Nguyen, HT & Su, S 2018, 'Nonparametric Dynamical Model of Cardiorespiratory Responses at the Onset and Offset of Treadmill Exercises', Medical and Biological Engineering and Computing, vol. 56, no. 12, pp. 2337-2351.
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Yuwono, M, Qin, Y, Zhou, J, Guo, Y, Celler, BG & Su, SW 2016, 'Automatic bearing fault diagnosis using particle swarm clustering and Hidden Markov Model', ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, vol. 47, pp. 88-100.
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Alqudah, HM, Cao, K, Zhang, T, Haddad, A, Su, S, Celler, B & Nguyen, H 2016, 'Cardiovascular Fitness Strengthening Using Portable Device', 2016 IEEE 38th Annual International Conference of the Engineering in Medicine and Biology Society (EMBC), International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE, USA, pp. 2692-2695.
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Cao, K, Ye, L, Alqudah, HM, Szymanski, J, Zhou, J & Su, SW 2016, 'Dynamical estimation of key cardiac-respiratory variables by using commercialized wearable sensors', Proceedings of the 3rd IASTED International Conference on Telehealth and Assistive Technology, TAT 2016, IASTED Telehealth and Assistive Technology, ACTA Press, Zurich, Switzerland, pp. 1-4.
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Keywords: Modelling, wearable devices, APP, and health monitoring

FOR Codes: Automotive Mechatronics, Computer and Electronic Office Equipment