ArticleFrontiers in physiology2019
Cardiorespiratory Temporal Causal Links and the Differences by Sport or Lack Thereof.
Article in Frontiers in physiology, 2019. 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.
- Machine Learning Classification of Pediatric Health Status Based on Cardiorespiratory Signals with Causal and Information Domain Features Applied-An Exploratory Study.Journal of clinical medicine · 2024Article
- Validity of the Pneumonitor for Analysis of Short-Term Heart Rate Asymmetry Extended with Respiratory Data in Pediatric Cardiac Patients.Journal of clinical medicine · 2024Article
- Heart Rate Variability in Individuals with Down Syndrome: A Scoping Review with Methodological Considerations.International journal of environmental research and public health · 2023Article
- Reliability of Symbolic Analysis of Heart Rate Variability and Its Changes During Sympathetic Stimulation in Elite Modern Pentathlon Athletes: A Pilot Study.Frontiers in physiology · 2022Article
- On the significance of estimating cardiorespiratory coupling strength in sports medicine.Frontiers in network physiology · 2022Review
- Respiratory Activity during Exercise: A Feasibility Study on Transition Point Estimation Using Impedance Pneumography.Sensors (Basel, Switzerland) · 2021Article
- A Pilot Study of the Reliability and Agreement of Heart Rate, Respiratory Rate and Short-Term Heart Rate Variability in Elite Modern Pentathlon Athletes.Diagnostics (Basel, Switzerland) · 2020Article
- Effect of Acute Hypoxia on Cardiorespiratory Coherence in Male Runners.Frontiers in physiology · 2020Article
- Influence of Slow-Paced Breathing on Inhibition After Physical Exertion.Frontiers in psychology · 2019Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Fitness level, fatigue and adaptation are important factors for determining the optimal training schedule and predicting future performance. We think that adding analysis of the mutual relationships between cardiac and respiratory activity enables better athlete profiling and feedback for improving training. Therefore, the main objectives were (1) to apply several methods for temporal causality analysis to cardiorespiratory data; (2) to establish causal links between the signals; and (3) to determine how parameterized connections differed across various subgroups. One hundred elite athletes (31 female) and a control group of 20 healthy students (6 female) took part in the study. All were asked to follow a protocol comprising two 5-min sessions of free breathing - once supine, once standing. The data were collected using Pneumonitor 2. Respiratory-related curves were obtained through impedance pneumography, along with a single-lead ECG. Several signals (e.g., tidal volume, instantaneous respiratory rate, and instantaneous heart rate) were derived and stored as: (1) raw data down-sampled to 25
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