Modelling and control for heart rate regulation during treadmill exercise

Publication Type:
Conference Proceeding
Citation:
Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, 2006, pp. 4299 - 4304
Issue Date:
2006-12-01
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This paper proposes a novel integrated approach for the identification and control of Hammerstein systems to achieve desired heart rate tracking performance for an automated treadmill system. The pseudo-random binary sequence input is employed to decouple the identification of dynamic linear part from static nonlinearity. The powerful ε-insensitivity Support Vector Regression is adopted to obtain sparse representations of the inversion of static nonlinearity in order to obtain an approximated linear model of the Hammerstein system. An H∞ controller is designed for the approximated linear model to achieve robust tracking performance. This new approach is applied to the design of a computer-controlled treadmill system for the regulation of heart rate during treadmill exercise. Minimizing deviations of heart rate from a preset profile is achieved by controlling the speed of the treadmill. Both conventional Proportional- Integral- Derivative (PID) control and the proposed approaches have been employed for the controller design. The proposed algorithm achieves much better heart rate tracking performance. © 2006 IEEE.
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