Nonlinear modelling and control for heart rate response to exercise

Authors:
Y. Zhang;W. Chen;S. W. Su;B. Celler
Affiliations:
Centre for Health Technologies, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia;Department of Automation, Shanghai Jiao Tong University, Shanghai, China;Centre for Health Technologies, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia/ Human Performance Group, Biomedical Systems Lab, School of Electrica ...;Human Performance Group, Biomedical Systems Lab, School of Electrical Engineering and Telecommunications, University of New South Wales, UNSW, Sydney, NSW 2052, Australia
Venue:
International Journal of Bioinformatics Research and Applications
Year:
2012

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Brief paper: Mathematical model of heart rate regulation during exercise

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Abstract

In order to accurately regulate cardiovascular response to exercise for individual exerciser, this study proposes a modelling and control integrated approach based on ε-insensitive Support Vector Regression (SVR) and switching control strategy. Firstly, a control oriented modelling approach is proposed to depict nonlinear behaviours of cardiovascular response at both onset and offset of treadmill exercises by using support vector machine regression. Then, based on the established nonlinear time-variant model, a novel switching Model Predictive Control (MPC) algorithm has been proposed for the optimisation of exercise efforts. The designed controller can take into account both coefficient drifting and parameter jump by embedding the identified model coefficient into the optimiser and adopting switching strategy during the transfer between onset and offset of exercises. The effectiveness of the proposed modelling and control approach was shown from the regulation of dynamical heart rate response to exercise through simulation using MATLAB.