Components of heart rate variability have attracted considerable attention in psychology and medicine and have become important dependent measures in psychophysiology and behavioral medicine. Quantification and interpretation of heart rate variability, however, remain complex issues and are fraught with pitfalls. The present report (a) examines the physiological origins and mechanisms of heart rate variability, (b) considers quantitative approaches to measurement, and (c) highlights important caveats in the interpretation of heart rate variability. Summary guidelines for research in this area are outlined, and suggestions and prospects for future developments are considered.

https://www.onlinelibrary.wiley.com/doi/epdf/10.1111/j.1469-8986.1997.tb02140.x

Heart rate variability: Origins, methods, and interpretive caveats

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.

/pdf/an-overview-of-heart-rate-variability-metrics-and-norms-sd8bxpnvjg.pdf

An Overview of Heart Rate Variability Metrics and Norms.

Heart rate variability (HRV), the change in the time intervals between adjacent heartbeats, is an emergent property of interdependent regulatory systems that operate on different time scales to adapt to challenges and achieve optimal performance. This article briefly reviews neural regulation of the heart, and its basic anatomy, the cardiac cycle, and the sinoatrial and atrioventricular pacemakers. The cardiovascular regulation center in the medulla integrates sensory information and input from higher brain centers, and afferent cardiovascular system inputs to adjust heart rate and blood pressure via sympathetic and parasympathetic efferent pathways. This article reviews sympathetic and parasympathetic influences on the heart, and examines the interpretation of HRV and the association between reduced HRV, risk of disease and mortality, and the loss of regulatory capacity. This article also discusses the intrinsic cardiac nervous system and the heart-brain connection, through which afferent information can influence activity in the subcortical and frontocortical areas, and motor cortex. It also considers new perspectives on the putative underlying physiological mechanisms and properties of the ultra-low-frequency (ULF), very-low-frequency (VLF), low-frequency (LF), and high-frequency (HF) bands. Additionally, it reviews the most common time and frequency domain measurements as well as standardized data collection protocols. In its final section, this article integrates Porges’ polyvagal theory, Thayer and colleagues’ neurovisceral integration model, Lehrer et al.’s resonance frequency model, and the Institute of HeartMath’s coherence model. The authors conclude that a coherent heart is not a metronome because its rhythms are characterized by both complexity and stability over longer time scales. Future research should expand understanding of how the heart and its intrinsic nervous system influence the brain.

/pdf/a-healthy-heart-is-not-a-metronome-an-integrative-review-of-49cjuoyp79.pdf

A healthy heart is not a metronome: an integrative review of the heart's anatomy and heart rate variability.

Psychophysiological research integrating heart rate variability (HRV) has increased during the last two decades, particularly given the fact that HRV is able to index cardiac vagal tone. Vagal tone, which represents the activity of the parasympathetic system, is acknowledged to be linked with many phenomena relevant for psychophysiological research, including self-regulation at the cognitive, emotional, social, and health levels. The ease of HRV collection and measurement coupled with the fact it is relatively affordable, non-invasive and pain free makes it widely accessible to many researchers. This ease of access should not obscure the difficulty of interpretation of HRV findings that can be easily misconstrued, however this can be controlled to some extent through correct methodological processes. Standards of measurement were developed two decades ago by a Task Force within HRV research, and recent reviews updated several aspects of the Task Force paper. However, many methodological aspects related to HRV in psychophysiological research have to be considered if one aims to be able to draw sound conclusions, which makes it difficult to interpret findings and to compare results across laboratories. Those methodological issues have mainly been discussed in separate outlets, making difficult to get a grasp on them, and thus this paper aims to address this issue. It will help to provide psychophysiological researchers with recommendations and practical advice concerning experimental designs, data analysis, and data reporting. This will ensure that researchers starting a project with HRV and cardiac vagal tone are well informed regarding methodological considerations in order for their findings to contribute to knowledge advancement in their field.

/pdf/heart-rate-variability-and-cardiac-vagal-tone-in-3ty5nxgoqb.pdf

Heart Rate Variability and Cardiac Vagal Tone in Psychophysiological Research - Recommendations for Experiment Planning, Data Analysis, and Data Reporting.

Since changes of heart period follow changes of cardiac vagal efferent activity quantitatively with nearly fixed latencies, measurements of respiratory sinus arrhythmia may provide insights into human central vagal mechanisms. Accordingly, I measured intervals between heartbeats during controlled breathing (at breathing intervals of 2.5-10 s and nominal tidal volumes of 1,000 and 1,500 ml) in six healthy young men and women. As breathing interval increased, the longest heart periods became longer, the shortest heart periods became shorter, and the peak-valley P-P intervals increased asymptotically. Peak-valley P-P intervals also increased in proportion to tidal volume. However, this influence was small: a 50% increase of tidal volume increased the average peak-valley P-P interval by only about 15%. The phase angles between heart period changes and respiration varied as linear functions of breathing interval. Heart period shortening (cardioacceleration) began in inspiration at short breathing intervals and in expiration at long breathing intervals. Heart period lengthening, however, began in early expiration at all breathing intervals studied. These results point toward a close relationship between variations of respiratory depth and interval and the quantity, periodicity, and timing of vagal cardiac outflow in conscious humans. They suggest that, at usual breathing rates, phasic respiration-related changes of vagal motoneuron activity began in expiration, progress slowly, and are incompletely expressed at fast breathing rates.

Human sinus arrhythmia as an index of vagal cardiac outflow

When arterial pressure rises spontaneously, baroreceptor areas are presented with repetitive stimuli of progressively increasing intensities. We simulated rising arterial pressure in 18 healthy young adults by applying trains of repetitive, ramped, R-wave-coupled neck suction, and we related P-P interval responses to intensities of stimuli with least-squares linear regression. We found that the P-P interval response to the stimulus train we used is immediate and highly linear (most correlation coefficients were above 0.90). In studies in which the base-line heart rate was less than 75 beats/min, cardiac inhibition was maximal in the cardiac cycle in which the stimulus was delivered. Decay of inhibition commences rapidly after the end of baroreceptor stimulation and proceeds with time constants that are independent of maximum levels of inhibition. P-P interval shortening (cardioacceleration) comprises an integral feature of baroreflex responses, such that inhibitory stimuli set in motion oscillations of heart period above and below base-line levels. Our data suggest that the pattern of sinus node responses during transitions of arterial pressure results from a complex interplay among several factors, including baroreflex responsiveness, base-line heart rate, the rate decay of baroreflex inhibition, and the biphasic nature of sinus node responses to inhibitory cholinergic interventions.

M. J. Eckberg

Papers

Human sinus node responses to repetitive, ramped carotid baroreceptor stimuli.