ArticleBiomedical engineering online2015
Identification of heart rate dynamics during moderate-to-vigorous treadmill exercise.
Article in Biomedical engineering online, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Heart rate regulation during cycle-ergometer exercise via event-driven biofeedback.Medical & biological engineering & computing · 2017Trial
- Personalized heart rate management through data-driven dynamic exercise control.Scientific reports · 2024Article
- Heart rate variability changes with respect to time and exercise intensity during heart-rate-controlled steady-state treadmill running.Scientific reports · 2023Article
- Biological and psychological predictors of heart rate patterns during physical activity.Psychology of sport and exercise · 2023Article
- Identification of heart rate dynamics during treadmill exercise: comparison of first- and second-order models.Biomedical engineering online · 2021Article
- A New Approach for Detecting Sleep Apnea Using a Contactless Bed Sensor: Comparison Study.Journal of medical Internet research · 2020Article
- Robust control of heart rate for cycle ergometer exercise.Medical & biological engineering & computing · 2019Article
- Identification and comparison of heart-rate dynamics during cycle ergometer and treadmill exercise.PloS one · 2019Article
- Nonparametric dynamical model of cardiorespiratory responses at the onset and offset of treadmill exercises.Medical & biological engineering & computing · 2018Article
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Authors and funding
3 authors.
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Abstract
backgroundHeart rate can be used to prescribe exercise intensity for development and maintenance of cardiorespiratory fitness. The aim of this study was to identify the dynamics of heart rate response during moderate-to-vigorous treadmill exercise and to explore parameter dependencies with respect to time, intensity level and step-change direction. The focus was on simple approximate models for subsequent design of heart rate control systems.
methods24 healthy, able-bodied male subjects each did two separate, 35-min tests on a treadmill, one at moderate and one at vigorous intensity. Each test had four individual upward and downward steps (1-4). Heart rate responses were modelled as first-order transfer functions with steady-state gain k and time constant [Formula: see text]. Models were estimated both for the overall testing periods and for individual step responses within each test.
resultsThere were no significant differences in the overall mean values of k [24.3 vs. 24.1 bpm/(m/s), [Formula: see text]] and [Formula: see text] (55.7 vs. 59.5 s, [Formula: see text]) between the two intensity levels. The overall nominal gain for both conditions was [Formula: see text], 21.9-26.6 bpm/(m/s) (mean [Formula: see text] standard deviation, 95 % confidence interval), and the overall nominal time constant was [Formula: see text], 50.9-64.3 s. Analysis of models estimated from the individual steps revealed a significant difference in steady-state gain k for upward and downward steps [30.2 vs. 23.6 bpm/(m/s), [Formula: see text]], but no difference in time constant [Formula: see text] between these two directions (57.5 vs. 54.4 s, [Formula: see text]). For gain k, there was no significant main effect of intensity ([Formula: see text]) or intensity-time ([Formula: see text]) interactions, but there was a significant main effect of time ([Formula: see text]). Pairwise comparison with respect to time showed a significant difference between the upward steps at times 1 and 3 [33.0 vs. 27.3 bpm/(m/s), [Formula: see text]], but no significant difference between the downward steps at times 2 and 4 [24.4 vs. 22.8 bpm/(m/s), [Formula: see text]]. For time constant [Formula: see text], there were no significant main effects of intensity ([Formula: see text]) or time ([Formula: see text]), or intensity-time interactions ([Formula: see text]).
conclusionsThe tight CI-bounds obtained, and the observed parameter dependencies, suggest that the overall nominal model with [Formula: see text] and [Formula: see text] might serve as the basis for design of a linear time-invariant (LTI) feedback system for real-time control of heart rate. Future work should focus on this hypothesis and on direct comparison of LTI and nonlinear/time-varying control approaches.
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