Institute for Rehabilitation and Performance Technology, Division of Mechanical Engineering, Department of Engineering and Information Technology, Bern University of Applied Sciences, Burgdorf, CH-3400, Switzerland.
Med Biol Eng Comput. 2019 Nov;57(11):2471-2482. doi: 10.1007/s11517-019-02034-6. Epub 2019 Aug 30.
The objective was to assess the performance and robustness of a novel strategy for automatic control of heart rate (HR) during cycle ergometry. Control design used a linear plant model and direct shaping of the closed-loop input-sensitivity function to achieve an appropriate response to disturbances attributable to broad-spectrum heart rate variability (HRV). The controller was evaluated in 73 feedback control experiments involving 49 participants. Performance and stability robustness were analysed using a separately identified family of 73 plant models. The controller gave highly accurate and stable HR tracking performance with mean root-mean-square tracking error between 2.5 beats/min (bpm) and 3.1 bpm, and with low average control signal power. Although plant parameters varied over a very wide range, key closed-loop transfer functions remained invariant to plant uncertainty in important frequency bands, while infinite gain margins and large phase margins (> 62) were preserved across the whole plant model family. Highly accurate, stable and robust HR control can be achieved using LTI controllers of remarkably simple structure. The results highlight that HR control design must focus on disturbances caused by HRV. The input-sensitivity approach evaluated in this work provides a transparent method of addressing this challenge. Graphical Abstract Heart rate control using a cycle ergometer.
目的是评估一种新型的心率(HR)自动控制策略在循环运动试验中的性能和鲁棒性。控制设计使用线性植物模型和闭环输入灵敏度函数的直接整形,以实现对归因于广谱心率变异性(HRV)的干扰的适当响应。该控制器在涉及 49 名参与者的 73 个反馈控制实验中进行了评估。使用单独确定的 73 个植物模型族来分析性能和稳定性鲁棒性。该控制器具有非常准确和稳定的 HR 跟踪性能,平均均方根跟踪误差在 2.5 次/分(bpm)和 3.1 bpm 之间,平均控制信号功率较低。尽管植物参数变化范围非常大,但关键的闭环传递函数在重要的频带内对植物不确定性保持不变,而在整个植物模型族中,无限增益裕度和大的相位裕度(>62)得以保留。使用结构非常简单的 LTI 控制器可以实现高度准确、稳定和鲁棒的 HR 控制。结果表明,HR 控制设计必须侧重于由 HRV 引起的干扰。本工作中评估的输入灵敏度方法为解决这一挑战提供了一种透明的方法。