Heart rate control using first- and second-order models during treadmill exercise

Wang, Hanjie; Hunt, Kenneth James (2021). Heart rate control using first- and second-order models during treadmill exercise Systems Science & Control Engineering, 9(1), pp. 651-662. Taylor & Francis 10.1080/21642583.2021.1976304

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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^{−4} m2/s2 vs. 27.91 × 10^{−4} m2/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^{−4} m2/s2 vs. 2.78 × 10^{−4} m2/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.

Item Type:

Journal Article (Original Article)

Division/Institute:

School of Engineering and Computer Science > Institut für Rehabilitation und Leistungstechnologie IRPT
BFH Centres > BFH centre for Health technologies

Name:

Wang, Hanjie and
Hunt, Kenneth James

Subjects:

T Technology > TA Engineering (General). Civil engineering (General)

ISSN:

2164-2583

Publisher:

Taylor & Francis

Funders:

Organisations 320030 not found.

Language:

English

Submitter:

Kenneth James Hunt

Date Deposited:

20 Dec 2021 14:58

Last Modified:

20 Dec 2021 14:58

Publisher DOI:

10.1080/21642583.2021.1976304

ARBOR DOI:

10.24451/arbor.16087

URI:

https://arbor.bfh.ch/id/eprint/16087

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