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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Heart rate variability in patients with cirrhosis: a systematic review and meta-analysis.
Tope Oyelade,Gabriele Canciani,Gabriele Carbone,Jaber S Alqahtani,Kevin P. Moore,Ali R. Mani +5 more
TL;DR: In this paper, the authors conducted a systematic review using Medline, Embase and Pubmed databases in July 2020 to assess the methods employed for the measurement of HRV, and evaluate the alteration of heart rate variability indices in cirrhosis, as well as their value in prognosis.
Journal ArticleDOI
Prenatal and recent methylmercury exposure and heart rate variability in young adults: the Seychelles Child Development Study.
Wojciech Zareba,Sally W. Thurston,Grazyna Zareba,Jean-Philippe Couderc,Katie Evans,Jean Xia,Gene E. Watson,J. J. Strain,Emeir M. McSorley,Alison J. Yeates,Maria S. Mulhern,Conrad F. Shamlaye,Pascal Bovet,Edwin van Wijngaarden,Philip W. Davidson,Gary J. Myers +15 more
TL;DR: Prenatal and recent MeHg exposure had no consistent pattern of associations to support the hypothesis that they are adversely associated with heart rate variability in this study population that consumes large amounts of fish.
Journal ArticleDOI
Cardiac Autonomic Modulation in Subjects with Amyotrophic Lateral Sclerosis (ALS) during an Upper Limb Virtual Reality Task: A Prospective Control Trial
Ana C Silveira,Íbis Ariana Peña de Moraes,Giovanna Ana de Paula Vidigal,Amanda O Simcsik,Renata M. Rosa,Francis Meire Fávero,Susi Mary De Souza Fernandes,David M. Garner,Luciano V Araújo,Marcelo Massa,Luiz Carlos Marques Vanderlei,Talita Dias da Silva,Carlos Bandeira de Mello Monteiro +12 more
TL;DR: Patients with ALS have the reduction of HRV with the sympathetic predominance when equated to the healthy CG, and the ALS individuals have no capability to adapt the autonomic nervous system when likened to the CG during therapy based on VR and their recovery.
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Predicting post-experiment fatigue among healthy young adults: Random forest regression analysis.
Eun Young Mun,Feng Geng +1 more
TL;DR: It is suggested that complex interactions across multiple systems domains that support regulation may be linked to fatigue and a random forest regression analysis can relatively easily be implemented with a built-in cross-validation function and reveal a web of connections undergirding health behavior and risks.
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Decreased sympathetic cardiovascular influences and hormone‐physiological changes in response to Covid‐19‐related adaptations under different learning environments
Morris Gellisch,Oliver T. Wolf,Nina Minkley,Wolfgang H. Kirchner,Martin Brüne,Beate Brand-Saberi +5 more
TL;DR: In this article , the authors investigated potential differences in physiological stress parameters of students engaged in online or face-to-face learning and determined whether these can be identified as possible mediators between learning experience and achievement emotions.
References
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