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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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Proceedings ArticleDOI

Rethinking Eye-blink: Assessing Task Difficulty through Physiological Representation of Spontaneous Blinking

TL;DR: In this paper, the authors proposed a new approach to the analysis of eye-blink responses for automated estimation of task difficulty, where the represented patterns are analyzed with multi-dimensional Long Short-Term Memory recurrent neural networks for their non-linear mapping onto difficulty-related parameters.
Journal ArticleDOI

Neural correlates of fluctuations in the intermediate band for heart rate and respiration are related to interoceptive perception.

TL;DR: The neural correlates associated with IM band variability in cardiac and respiratory rate are investigated and dissociable networks for LF, IM, and HF bands in both modalities are identified and suggest the IM band may be instrumental for assessment of the CNS-ANS interaction.
Journal ArticleDOI

Obesity, Nutrition and Heart Rate Variability.

TL;DR: In this article, the effects of weight loss, training, and nutrition on HRV with a special focus on obesity were summarized and compared with the effect of physical activity and dietary intervention.
Journal ArticleDOI

Can decreased heart rate variability be a marker of autonomic dysfunction, metabolic syndrome and diabetes?

TL;DR: Available evidence on the role of HRV in the early diagnosis of chronic disease (with specific focus on Type 2 diabetes) and the factors affecting HRV is found to be limited.
Journal ArticleDOI

Associations Between Child Maltreatment, Autonomic Regulation, and Adverse Cardiovascular Outcome in an Urban Population: The HELIUS Study.

TL;DR: In a large, multi-ethnic urban-population cohort study, a positive association between number of endorsed child maltreatment types and self-reported aCVO but not autonomic regulation is observed, over and above the effect of relevant demographic, health, and psychological factors.
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.