NDLI: Self biofeedback control of oxygen consumption (Vo2) during cycling exercise: Based on its real time estimate

Content Provider	IEEE Xplore Digital Library
Author	Baig, D. Savkin, A.V. Celler, B.G.
Copyright Year	2013
Description	Author affiliation: Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW, Australia (Baig, D.; Savkin, A.V.) \|\| Coll. of Health & Sci., Univ. of Western Sydney, Sydney, NSW, Australia (Celler, B.G.)
Abstract	The aim of this paper is to develop the self biofeedback (SBF) control of oxygen consumption $(Vo_{2})$ during cycling exercise. The developed system uses an estimator that can predict $Vo_{2}$ in real time by using the measurements of heart rate (HR), respiratory rate (RespR) and frequency of exercising activity, this terms is known as Exercise Rate (ER). The biofeedback command is given to the exercising subject in terms of the desired action required by the subject to achieve the targeted $Vo_{2}$ $(Vo_{2target})$ profile. The desired action is determined by the SBF system based on the current estimates of $Vo_{2}$ and is communicated to the exercising subject by flashing an indicator on the computer screen. The results obtained in this study demonstrate that the estimator developed for cycling exercise is capable of estimating $Vo_{2}$ in real time. The developed system is tested on six healthy male subjects. The obtained results show that the SBF system performs well with the average steady state error in terms of Root Mean Square Error (RMSE) of 1 ml/min/Kg during low intensity exercise and with RMSE of 1.6426 ml/min/Kg during high intensity exercise.
Starting Page	477
Ending Page	480
File Size	204596
Page Count	4
File Format	PDF
ISBN	9781457702167
ISSN	1557170X
DOI	10.1109/EMBC.2013.6609540
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-03
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Heart rate Estimation Erbium Real-time systems Mathematical model Biological control systems Educational institutions
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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