ArticlePloS one2019
Identification and comparison of heart-rate dynamics during cycle ergometer and treadmill exercise.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 13 citations in OpenAlex.
- Feedback control of heart rate during robotics-assisted tilt table exercise in patients after stroke: a clinical feasibility study.Journal of neuroengineering and rehabilitation · 2024Article
- Personalized heart rate management through data-driven dynamic exercise control.Scientific reports · 2024Article
- Identification of heart rate dynamics during treadmill and cycle ergometer exercise: the role of model zeros and dead time.F1000Research · 2024Article
- Heart rate variability changes with respect to time and exercise intensity during heart-rate-controlled steady-state treadmill running.Scientific reports · 2023Article
- Feedback control of heart rate during treadmill exercise based on a two-phase response model.PloS one · 2023Article
- Using Computer Vision to Track Facial Color Changes and Predict Heart Rate.Journal of imaging · 2022Article
- Robust control of heart rate for cycle ergometer exercise.Medical & biological engineering & computing · 2019Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
AIM AND
methodsThe aim of this study was to compare the dynamics of heart rate (HR) response to exercise using a cycle ergometer (CE) and a treadmill (TM). Using a sample of 25 healthy male participants, the time constant of HR dynamics was estimated for both modalities in response to square-wave excitation.
resultsThe principal finding was that the time constant of heart-rate dynamics around somewhat-hard exercise intensity (Borg rating of perceived exertion = 13) does not differ significantly between the CE and TM (68.7 s ± 21.5 s vs. 62.5 s ± 18.5 s [mean ± standard deviation]; CE vs. TM; p = 0.20). An observed moderate level of evidence that root-mean-square model error was higher for the CE than for the TM (2.5 bpm ± 0.5 bpm vs. 2.2 bpm ± 0.5 bpm, p = 0.059) may reflect a decrease in heart rate variability with increasing HR intensity because, in order to achieve similar levels of perceived intensity, mean heart rate for the CE was ∼25 bpm lower than for the TM. CONCLUSION AND SIGNIFICANCE: These results have important implications for model-based design of automatic HR controllers, because, in principle, the same dynamic controller, merely scaled according to the differing steady-state gains, should be able to be applied to the CE and TM exercise modalities.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.