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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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Journal ArticleDOI

Contactless analysis of heart rate variability during cold pressor test using radar interferometry and bidirectional LSTM networks.

TL;DR: In this paper, the authors presented a contactless approach using a 24 GHz Six-Port-based radar system and an LSTM network for radar heart sound segmentation, which is capable of performing contactless and convenient HRV monitoring and therefore suitable for longterm recordings in clinical environments and home care scenarios.
Journal ArticleDOI

Peripheral-physiological and neural correlates of the flow experience while playing video games: a comprehensive review.

TL;DR: A comprehensive review of the physiological and neural correlates of flow and the relationship between reported physiological and NER markers of the flow experience is provided in this paper, and it seems possible to establish associations between reported markers and the cognitive and experiential aspects of flow, particularly regarding arousal, attention control, reward processing, automaticity and self-referential processing.
Journal ArticleDOI

A computationally efficient algorithm to obtain an accurate and interpretable model of the effect of circadian rhythm on resting heart rate

TL;DR: The multiple component model provided in this paper can be used to approximate a user's resting heart rate with higher accuracy than single component model, providing traditional parameters easy to interpret.
Journal ArticleDOI

Momentary changes in heart rate variability can detect risk for emotional eating episodes

TL;DR: The hypothesis that momentary changes in HRV can be used to detect risk of experiencing an emotional eating episode in an ecologically valid setting using a wrist worn sensor with acceptable classification accuracy is tested.
Journal ArticleDOI

The impact of continuous positive airway pressure on heart rate variability in obstructive sleep apnea patients during sleep: A meta-analysis.

TL;DR: CPAP can improve autonomic activity, which might be one mechanism to reduce the risk of cardiovascular diseases in OSA, based on literature from five databases published through August 2017.
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.