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Identification and comparison of heart-rate dynamics during cycle ergometer and treadmill exercise
Kenneth J Hunt1, Reto Grunder1, Andreas Zahnd1
1Institute for Rehabilitation and Performance Technology, Division of Mechanical Engineering, Department of Engineering and Information Technology, Bern University of Applied Sciences, Burgdorf, Switzerland.
The time constant of heart rate (HR) dynamics during exercise is similar between cycle ergometer (CE) and treadmill (TM) tests. This finding suggests HR controllers can be adapted for both exercise modalities.
Area of Science:
- Exercise Physiology
- Biomedical Engineering
- Cardiovascular Dynamics
Background:
- Understanding heart rate (HR) response dynamics is crucial for designing effective exercise protocols and control systems.
- Previous research has explored HR responses to exercise, but direct comparisons between cycle ergometry and treadmill testing are limited.
Purpose of the Study:
- To compare the time constant of heart rate (HR) dynamics between cycle ergometer (CE) and treadmill (TM) exercise.
- To assess the implications of these dynamics for model-based HR controller design.
Main Methods:
- Twenty-five healthy males performed square-wave exercise tests on both CE and TM.
- The time constant of HR dynamics was estimated for each modality.
- Root-mean-square model error was calculated to assess model fit.
Main Results:
- No significant difference was found in the time constant of HR dynamics between CE and TM at a perceived exertion of 13 (68.7s ± 21.5s vs. 62.5s ± 18.5s, p=0.20).
- A trend suggested higher root-mean-square error for CE (2.5 bpm ± 0.5 bpm) compared to TM (2.2 bpm ± 0.5 bpm, p=0.059).
- This difference may be linked to lower mean HR on CE for equivalent perceived exertion.
Conclusions:
- The dynamic HR response to exercise is comparable between CE and TM, supporting the use of similar control strategies.
- Model-based HR controllers can potentially be applied to both exercise modalities with adjustments for steady-state gains.
- This research aids in the development of adaptive physiological control systems for exercise rehabilitation and training.
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