The Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia.
Ann Biomed Eng. 2010 Mar;38(3):758-68. doi: 10.1007/s10439-009-9849-0. Epub 2009 Dec 2.
Safe exercise protocols are critical for effective rehabilitation programs. This paper aims to develop a novel control strategy for an automated treadmill system to reduce the danger of injury during cardiac rehabilitation. We have developed a control-oriented nonparametric Hammerstein model for the control of heart rate during exercises by using support vector regression and correlation analysis. Based on this nonparametric model, a model predictive controller has been built. In order to guarantee the safety of treadmill exercise during rehabilitation, this new automated treadmill system is capable of optimizing system performance over predefined ranges of speed and acceleration. The effectiveness of the proposed approach was demonstrated with six subjects by having their heart rate track successfully a predetermined heart rate.
安全的运动方案对于有效的康复计划至关重要。本文旨在为自动化跑步机系统开发一种新的控制策略，以降低心脏康复过程中受伤的风险。我们使用支持向量回归和相关分析为运动时的心率控制开发了一个面向控制的非参数 Hammerstein 模型。基于这个非参数模型，我们构建了一个模型预测控制器。为了保证康复期间跑步机运动的安全性，这个新的自动化跑步机系统能够在预设的速度和加速度范围内优化系统性能。通过让六位受试者的心率成功跟踪预定的心率，验证了所提出方法的有效性。
