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Open AccessJournal ArticleDOI

An Overview of Heart Rate Variability Metrics and Norms.

TLDR
Current perspectives on the mechanisms that generate 24 h, short-term (<5 min), and ultra-short-term HRV are reviewed, and the importance of HRV, and its implications for health and performance are reviewed.
Abstract
Healthy biological systems exhibit complex patterns of variability that can be described by mathematical chaos. Heart rate variability (HRV) consists of changes in the time intervals between consecutive heartbeats called interbeat intervals (IBIs). A healthy heart is not a metronome. The oscillations of a healthy heart are complex and constantly changing, which allow the cardiovascular system to rapidly adjust to sudden physical and psychological challenges to homeostasis. This article briefly reviews current perspectives on the mechanisms that generate 24 h, short-term (~5 min), and ultra-short-term (<5 min) HRV, the importance of HRV, and its implications for health and performance. The authors provide an overview of widely-used HRV time-domain, frequency-domain, and non-linear metrics. Time-domain indices quantify the amount of HRV observed during monitoring periods that may range from ~2 min to 24 h. Frequency-domain values calculate the absolute or relative amount of signal energy within component bands. Non-linear measurements quantify the unpredictability and complexity of a series of IBIs. The authors survey published normative values for clinical, healthy, and optimal performance populations. They stress the importance of measurement context, including recording period length, subject age, and sex, on baseline HRV values. They caution that 24 h, short-term, and ultra-short-term normative values are not interchangeable. They encourage professionals to supplement published norms with findings from their own specialized populations. Finally, the authors provide an overview of HRV assessment strategies for clinical and optimal performance interventions.

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Citations
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Journal ArticleDOI

Resonance frequency is not always stable over time and could be related to the inter-beat interval.

TL;DR: In this article, the authors found that breathing at the individualized and momentary frequency of resonance increases cardiac variability, while free slow breathing showed a lower heart rate average than RF and other slow breathing rates.
Journal ArticleDOI

Trends in Heart Rate and Heart Rate Variability During Pregnancy and the 3-Month Postpartum Period: Continuous Monitoring in a Free-living Context

TL;DR: In this paper , the authors used hierarchical linear mixed models to analyze the trends of HR, HRV, and normalized HRV parameters during pregnancy and postpartum period, and showed that HR increased and HRV decreased as pregnancy proceeded, and the values returned to normal after delivery.
Proceedings ArticleDOI

Mutual Information Analysis of Brain-Body Interactions during different Levels of Mental stress *

TL;DR: Brain-heart interactions during different mental states computing mutual information (MI) between the dynamic activity of different physiological systems are analyzed to detect correlated activity within and between brain and body systems monitored simultaneously during differentmental states.
DissertationDOI

Understanding stress responses related to digital technologies

TL;DR: In this paper, the authors propose a method to solve the problem of "uniformity" and "uncertainty" in the context of education.iii.iiiiii.
Journal ArticleDOI

Exploring How Trait Mindfulness Relates to Perceived Stress and Cardiovascular Reactivity

TL;DR: Like mindfulness interventions, trait mindfulness is associated with less global perceived stress and interactions between trait mindfulness facets that reflect attention monitoring and acceptance might predict physiological reactivity in certain contexts, though a mindful state might be necessary for most real-time cardiovascular benefits.
References
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Journal ArticleDOI

Measuring agreement in method comparison studies

TL;DR: The 95% limits of agreement, estimated by mean difference 1.96 standard deviation of the differences, provide an interval within which 95% of differences between measurements by the two methods are expected to lie.
Journal ArticleDOI

Power spectrum analysis of heart rate fluctuation: a quantitative probe of beat-to-beat cardiovascular control

TL;DR: It is shown that sympathetic and parasympathetic nervous activity make frequency-specific contributions to the heart rate power spectrum, and that renin-angiotensin system activity strongly modulates the amplitude of the spectral peak located at 0.04 hertz.
Journal ArticleDOI

Power spectral analysis of heart rate and arterial pressure variabilities as a marker of sympatho-vagal interaction in man and conscious dog.

TL;DR: The spontaneous beat-to-beat oscillation in R-R interval during control recumbent position, 90° upright tilt, controlled respiration and acute and chronic β-adrenergic receptor blockade was analyzed, indicating that sympathetic nerves to the heart are instrumental in the genesis of low-frequency oscillations in R -R interval.
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Trending Questions (1)
What are healthy ranges for heartrate variability?

The paper provides an overview of HRV metrics and norms but does not specifically mention healthy ranges for heart rate variability.