RMSSD
A time-domain metric based on beat-to-beat changes. It is often used in short recordings and is sensitive to high-frequency variation related to respiratory cardiac modulation.
Learn / Heart rate variability
Heart rate variability describes variation in the time between successive heartbeats. It is widely used in cardiovascular, autonomic and psychophysiological research, but a single HRV number is not a diagnosis, a universal readiness score or a direct meter of the whole nervous system.
Short answer
Two people can have the same average heart rate while the spacing between individual beats varies differently. HRV metrics describe patterns in those intervals. The pattern can change with breathing, posture, sleep, exercise, stress, illness, medication, recording length and measurement quality.
HRV is a measurement layer. It can contribute information about cardiac autonomic regulation when the method and context are controlled, but it does not by itself explain why a person feels stressed, recovered, tired or well.
Common metrics
A time-domain metric based on beat-to-beat changes. It is often used in short recordings and is sensitive to high-frequency variation related to respiratory cardiac modulation.
A time-domain measure of overall variability across the recording. Its meaning depends strongly on recording duration, so short and 24-hour values should not be treated as interchangeable.
Spectral methods describe how variability is distributed across frequency bands. Interpretation requires care, especially when labels are simplified into claims about sympathetic or parasympathetic balance.
Context matters
HRV and vagal tone
Some HRV measures, especially under controlled conditions, are used as indicators of respiratory modulation of cardiac vagal activity. That does not make every wearable HRV score a direct measurement of vagal tone, sympathetic output or “nervous system balance.” Recent guidance specifically warns against that kind of overinterpretation.
Reading personal HRV
A morning resting measurement should not be treated as directly interchangeable with an exercise recording or an overnight value from a different device.
Signal noise, missed beats and algorithm choices can change derived values. Research-grade interpretation starts with recording quality.
Repeated measurements under similar conditions can add context, but a trend still needs to be interpreted alongside sleep, training, illness and other factors.
An unusually high or low consumer HRV value is not, by itself, a diagnosis or proof that one branch of the autonomic nervous system is malfunctioning.
References
Task Force, 1996
The foundational standards paper formalized many common HRV measurement and reporting conventions and remains an important methodological reference.
Open sourceLaborde, Mosley & Thayer, 2017
A practical review of planning, recording, analysis and interpretation, emphasizing that HRV is easy to collect but easy to misinterpret without methodological control.
Open sourceQuigley et al., 2024
A committee report covering ECG and photoplethysmographic measurement, physiological foundations, methodological strengths and weaknesses, and transparent reporting.
Open sourceHuman cardiovascular HRV guidelines, 2026
Recent evidence-based guidance cautions against treating HRV as a specific measure of cardiac sympathetic outflow or a simple sympathovagal-balance score.
Open sourceResearch boundary
This page owns the general “what is HRV?” question. The Research topic page owns the evidence layer around HRV, autonomic regulation and VNS-related studies.
Explore HRV research