Why the study?
Heart rate control using first- and second-order models was compared using a novel control design strategy that shapes the input sensitivity function.
Does a controller based on second-order models improve heart rate tracking accuracy compared to first-order models during treadmill exercise?
Does a controller based on second-order models improve heart rate tracking accuracy compared to first-order models during treadmill exercise?
Controllers based on second-order models do not improve heart rate tracking accuracy during treadmill exercise compared to first-order models, despite requiring significantly more dynamic control signals.
May inform treadmill-based HR controller design; leaves open clinical translation in cardiac populations.
Heart rate control using first- and second-order models was compared using a novel control design strategy which shapes the input sensitivity function. Ten participants performed two feedback control test series on a treadmill with square wave and constant references. Using a repeated measures, counterbalanced study design, each series compared controllers C1 and C2 based on first- and second-order models, respectively. In the first series, tracking accuracy root-mean-square tracking error (RMSE) was not significantly lower for C2: 2.59 bpm vs. 2.69 bpm (mean, C1 vs. C2), p = 0.79. But average control signal power was significantly higher for C2: 11.29×10−4m2/s2 vs. 27.91×10−4m2/s2, p=3.1×10−10. In the second series, RMSE was also not significantly lower for C2: 1.99 bpm vs. 1.94 bpm, p = 0.39; but average control signal power was again significantly higher for C2: 2.20×10−4m2/s2 vs. 2.78×10−4m2/s2, p = 0.045. The results provide no evidence that controllers based on second-order models lead to better tracking accuracy, despite the finding that they are significantly more dynamic. Further investigation using a substantially larger sample size is warranted.
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Wang et al. (2021) studied this question.
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