ReviewInternational journal of environmental research and public health2022
Detecting Metabolic Thresholds from Nonlinear Analysis of Heart Rate Time Series: A Review.
Review in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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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
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Agreement Between Heart Rate Variability - Derived vs. Ventilatory and Lactate Thresholds: A Systematic Review with Meta-Analyses.Sports medicine - open · 2024Pooled it
- Heart rate thresholds as integrative biomarkers: a systems approach to exercise physiology and cardiovascular regulation.European journal of applied physiology · 2025Review
- The complexity of glucose time series is associated with short- and long-term mortality in critically ill adults: a multi-center, prospective, observational study.Journal of endocrinological investigation · 2024Observational
- Unraveling the Gut Microbiota: Implications for Precision Nutrition and Personalized Medicine.Nutrients · 2024Review
- Examination of Cardiac Activity with ECG Monitoring Using Heart Rate Variability Methods.Diagnostics (Basel, Switzerland) · 2024Article
- The complexity of interpersonal physiology during rupture and repair episodes in the treatment of borderline personality disorder: a proof-of-concept multimethod single case study of verbal and non-verbal interactional dynamics.Frontiers in psychology · 2024Article
- Fitness and psychological effects of tele-exercise in healthy populations. Preliminary study.Frontiers in digital health · 2024Article
- Automatic Detection of Aerobic Threshold through Recurrence Quantification Analysis of Heart Rate Time Series.International journal of environmental research and public health · 2023Article
- Article
- The Autonomic Imbalance of Myocardial Ischemia during Exercise Stress Testing: Insight from Short-Term Heart Rate Variability Analysis.International journal of environmental research and public health · 2022Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Heart rate time series are widely used to characterize physiological states and athletic performance. Among the main indicators of metabolic and physiological states, the detection of metabolic thresholds is an important tool in establishing training protocols in both sport and clinical fields. This paper reviews the most common methods, applied to heart rate (HR) time series, aiming to detect metabolic thresholds. These methodologies have been largely used to assess energy metabolism and to identify the appropriate intensity of physical exercise which can reduce body weight and improve physical fitness. Specifically, we focused on the main nonlinear signal evaluation methods using HR to identify metabolic thresholds with the purpose of identifying a method which can represent a useful tool for the real-time settings of wearable devices in sport activities. While the advantages and disadvantages of each method, and the possible applications, are presented, this review confirms that the nonlinear analysis of HR time series represents a solid, robust and noninvasive approach to assess metabolic thresholds.
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