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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Using a 360° Virtual Reality or 2D Video to Learn History Taking and Physical Examination Skills for Undergraduate Medical Students: Pilot Randomized Controlled Trial.
Yi-Ping Chao,Yi-Ping Chao,Hai-Hua Chuang,Hai-Hua Chuang,Li-Jen Hsin,Li-Jen Hsin,Chung-Jan Kang,Chung-Jan Kang,Tuan-Jen Fang,Tuan-Jen Fang,Hsueh-Yu Li,Hsueh-Yu Li,Chung-Guei Huang,Chung-Guei Huang,Terry B.J. Kuo,Cheryl C.H. Yang,Hsin-Yih Shyu,Hsin-Yih Shyu,Shu-Ling Wang,Shu-Ling Wang,Liang-Yu Shyu,Li-Ang Lee,Li-Ang Lee,Li-Ang Lee +23 more
TL;DR: In this paper, the authors investigate how learning materials (i.e., VR or 2D video) impact learning outcomes and experience through changes in cognitive load estimates and HRV for learning history taking and physical examination (H&P) skills.
Journal ArticleDOI
The influence of urban visuospatial configuration on older adults’ stress: A wearable physiological-perceived stress sensing and data mining based-approach
TL;DR: In this paper, the authors used principal component analysis, self-organising map and machine learning algorithms to understand the relationship between the perceived visual elements of the urban environment and older adults' physiological stress.
Posted ContentDOI
Longitudinal Physiological Data from a Wearable Device Identifies SARS-CoV-2 Infection and Symptoms and Predicts COVID-19 Diagnosis
Robert Hirten,Robert Hirten,Matteo Danieletto,Matteo Danieletto,Lewis Tomalin,Katie Hyewon Choi,Micol Zweig,Micol Zweig,Eddye Golden,Eddye Golden,Sparshdeep Kaur,Drew Helmus,Anthony Biello,Renata Pyzik,Ismail Nabeel,Alexander W. Charney,Benjamin S. Glicksberg,Benjamin S. Glicksberg,Matthew A. Levin,David Reich,Dennis S. Charney,Erwin P. Bottinger,Laurie Keefer,Mayte Suárez-Fariñas,Girish N. Nadkarni,Girish N. Nadkarni,Zahi A. Fayad +26 more
TL;DR: Prior to the diagnosis of CO VID-19 by nasal PCR, significant changes in HRV were observed demonstrating its predictive ability to identify COVID-19 infection.
Journal ArticleDOI
Emotion dysregulation and dissociation contribute to decreased heart rate variability to an acute psychosocial stressor in trauma-exposed Black women
Abigail Powers,Yara Mekawi,Maximilian Fickenwirth,Nicole R. Nugent,H. Drew Dixon,Sean Minton,Ye Ji Kim,Rachel Gluck,Sierra Carter,Negar Fani,Ann C. Schwartz,Bekh Bradley,Guillermo E. Umpierrez,Thaddeus W.W. Pace,Tanja Jovanovic,Vasiliki Michopoulos,Charles F. Gillespie +16 more
TL;DR: In this paper, the authors examined unique patterns of associations between emotion dysregulation, dissociation, and posttraumatic stress disorder with reduced heart rate variability at 15, 30, and 45 min (T1, T2, T3) following an acute psychosocial stressor task in a sample of 49 traumaexposed, urban-dwelling Black women.
Journal ArticleDOI
A scoping review of heart rate variability in sport and exercise psychology
Emma Mosley,Sylvain Laborde +1 more
TL;DR: In this paper , a systematic search of Web of Science, PubMed and sport discus identified 118 studies using HRV in sport psychology (71) or exercise psychology (47) and risk of bias was assessed via the Mixed Methods Appraisal Tool.
References
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Journal ArticleDOI
Heart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology.
Alan John Camm,Marek Malik,J. T. Bigger,G. Breithardt,Sergio Cerutti,Richard J. Cohen,Philippe Coumel,Ernest L. Fallen,H.L. Kennedy,Robert E. Kleiger,Federico Lombardi,Alberto Malliani,Arthur J. Moss,Jeffrey N. Rottman,Georg Schmidt,Peter J. Schwartz,D.H. Singer +16 more
Journal ArticleDOI
Heart rate variability. Standards of measurement, physiological interpretation, and clinical use
Marek Malik,J. Thomas Bigger,A. John Camm,Robert E. Kleiger,Alberto Malliani,Arthur J. Moss,Peter J. Schwartz +6 more
Journal ArticleDOI
Measuring agreement in method comparison studies
J M Bland,Douglas G. Altman +1 more
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.
Massimo Pagani,Federico Lombardi,Stefano Guzzetti,Ornella Rimoldi,Raffaello Furlan,Paolo Pizzinelli,Giulia Sandrone,Gabriella Malfatto,Simonetta Dell’Orto,E Piccaluga +9 more
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.