An Overview of Heart Rate Variability Metrics and Norms.
Fred Shaffer,Jay P. Ginsberg +1 more
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.read more
Citations
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Listening to the heart. Getting closer to the somatic core of affective valuation of exercise through heart rate variability analysis
TL;DR: In this paper, a study aimed to test the assumption that the somatic core of this affective response can be identified by means of heart rate variability (HRV) analysis.
Journal ArticleDOI
Heart rate variability as a biomarker in patients with Chronic Chagas Cardiomyopathy with or without concomitant digestive involvement and its relationship with the Rassi score
Luiz Eduardo Virgilio Silva,Henrique T. Moreira,Marina Madureira de Oliveira,L. S. S. Cintra,Helio Cesar Salgado,Rubens Fazan,Renato Tinós,Anis Rassi,A. Schmidt,José Antonio Marin-Neto +9 more
TL;DR: In this article , the ability of heart rate variability (HRV) for death risk stratification in chronic chagas cardiomyopathy (CCC) was investigated and four machine learning models were created to predict the risk class of patients.
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Heart-focused breathing and perceptions of burden in Alzheimer's caregivers: An online randomized controlled pilot study
TL;DR: In this paper, the authors examined a two-week ten-minute daily, internet delivered heart-focused breathing protocol (n = 5) compared to waitlist control (n ǫ = 5).
Journal ArticleDOI
Periodicity of cerebral flow velocity during sleep and its association with white-matter hyperintensity volume.
Woo Jin Lee,Keun Hwa Jung,Hyun Min Park,Chul-Ho Sohn,Soon-Tae Lee,Kyung-Il Park,Kyung-Il Park,Kon Chu,Ki-Young Jung,Manho Kim,Manho Kim,Sang Kun Lee,Jae Kyu Roh +12 more
TL;DR: Sleep-related amplification of the cerebral flow-velocity periodicity might reflect the activation of cerebral waste clearance system during sleep, and be related to the pathogenesis of cerebral WMH.
Journal ArticleDOI
Investigating components of pranayama for effects on heart rate variability.
Erica Sharpe,Erica Sharpe,Alison Lacombe,Adam Sadowski,John Phipps,Ryan Heer,Savita Rajurkar,Douglas Hanes,Ripu D. Jindal,Ryan Bradley,Ryan Bradley,Ryan Bradley +11 more
TL;DR: In this paper, the root mean square successive differences between RR intervals (RMSSD) was found to increase with paced breathing, deep breathing, and self-paced Sheetali/Sheetkari pranayama.
References
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