What is heart rate variability?
A heart beating at 60 beats per minute is not beating exactly once a second. The gap between one beat and the next might be 0.92 seconds, then 1.07, then 0.98. That variation is heart rate variability, and far from being noise, it is a direct read-out of the autonomic nervous system at work.
Two branches of that system pull on the heart's pacemaker at once. The sympathetic branch speeds it up and acts slowly, over seconds. The parasympathetic branch, via the vagus nerve, slows it down and acts within a single heartbeat. Because the vagal signal is fast, it is the source of almost all short-term beat-to-beat variation — so higher HRV generally means stronger parasympathetic activity: a nervous system in recovery mode rather than defence mode. The 1996 Task Force of the European Society of Cardiology, which set the measurement standards still used today, described this as the basis for HRV's clinical and physiological meaning.
That is why HRV tends to move in the same direction as everything that helps you recover, and the opposite direction from everything that loads you: sleep, illness, alcohol, psychological stress and hard training all show up in it, often before you feel them.
RMSSD, SDNN and the numbers on your app: what do they mean?
Devices report HRV with a handful of statistics, and the differences matter because they are not interchangeable:
| Metric | What it is | Where you see it |
|---|---|---|
| RMSSD | Root mean square of successive differences between beats. Tracks vagal (parasympathetic) activity; relatively robust to breathing rate. Works on recordings as short as 1–5 minutes. | Whoop, Oura, Garmin, most HRV apps |
| SDNN | Standard deviation of all normal beat intervals. Captures all sources of variation; the classic 24-hour clinical measure. | Apple Health (Apple Watch writes SDNN, not RMSSD) |
| ln RMSSD | Natural log of RMSSD. Makes the distribution normal so week-to-week changes can be compared fairly. | Sports-science monitoring; some apps' "HRV score" |
| HF / LF power | Frequency-domain measures. HF reflects vagal activity at breathing frequency; the "LF/HF ratio" as a sympathovagal balance index is now considered unreliable. | Research, some chest-strap apps |
Shaffer and Ginsberg's 2017 overview is the standard reference on which metric to use when. The practical consequence: an Apple Watch SDNN of 45 ms and an Oura RMSSD of 45 ms are not the same thing, and a "score" out of 100 is a manufacturer's transformation of one of them. Compare a device only with itself.
What is a normal HRV?
Wider than most people expect. Nunan, Sandercock and Brodie pooled 44 studies of short-term HRV in healthy adults and found a mean RMSSD of 42 ms — but the individual study means ranged from 19 to 75 ms. SDNN averaged 50 ms with study means from 32 to 93 ms. Two healthy, fit people can differ by a factor of three or four and both be entirely normal.
Age is the biggest single driver. Umetani and colleagues measured 24-hour HRV in 260 healthy people across nine decades and found it falls steadily with age, with women showing lower values than men until around 50, after which the gap closes. Genetics, resting heart rate, fitness and body position (lying versus sitting) all shift the number too.
Your HRV is only meaningful against your own baseline. A reading of 30 ms is a good morning for someone whose average is 25 and an alarm for someone whose average is 60. Any app that grades you against other people is grading the wrong thing.
Why does low HRV matter for health?
The clinical literature came first, and it is stark. In 1987 Kleiger and colleagues followed 808 people after a heart attack: those with a 24-hour SDNN below 50 ms had 5.3 times the mortality of those above 100 ms over the follow-up period. Low HRV has since been linked to worse outcomes across cardiovascular disease, diabetes and depression.
The likely reason is that HRV indexes how well the brain regulates the body. Thayer and colleagues' meta-analysis of neuroimaging studies found that vagally mediated HRV tracks activity in prefrontal regions responsible for regulating threat responses — which is why HRV behaves as a general marker of stress and adaptability rather than a purely cardiac number. This is also the sense in which a persistently low or falling HRV is worth mentioning to a doctor, especially alongside symptoms.
Why does HRV predict recovery from training?
Because hard training is a stressor, and the return of parasympathetic activity afterwards is what recovery physiologically is. In endurance athletes, Plews and colleagues showed that HRV trends track training adaptation — a rising weekly average during a build usually signals positive adaptation, while a sustained fall alongside stagnant performance is a warning of non-functional overreaching.
Two findings from that group changed how HRV should be read:
- Use a 7-day rolling average, not the daily value. Day-to-day HRV is noisy; a single low morning after a late night tells you nothing about fitness. Plews' 2013 review recommends weekly averages of ln RMSSD as the unit of analysis.
- You need at least three readings a week for that average to be valid. Plews' 2014 compliance study found three randomly selected measures per week reproduced the true weekly mean well enough for decisions; fewer did not.
Can you train by HRV? Kiviniemi and colleagues randomised moderately fit men either to a fixed schedule or to a plan in which each day's session was chosen by that morning's HRV — hard if HRV was at or above baseline, easy if it had fallen. The HRV-guided group matched or bettered the fixed group's gains in VO2peak and peak running speed while doing fewer high-intensity sessions. Buchheit's 2014 review adds the necessary caveat: HRV is one input, not an oracle, and very high HRV can itself be a sign of overreaching in some athletes. Pair it with resting heart rate, sleep and how you feel — which is exactly what a polarised, mostly-easy training plan makes easy to do.
What lowers HRV? Alcohol, sleep, illness and stress
Alcohol is the clearest single-night effect in the literature. Pietilä and colleagues analysed 4,098 Finnish employees wearing heart-rate monitors overnight. Compared with alcohol-free nights, HRV during the first three hours of sleep fell by 9.3% after low intake (up to 0.25 g per kg of body weight, roughly one to two drinks), 24.0% after moderate intake and 39.2% after high intake (more than 0.75 g/kg) — a dose-response that showed up in fit and unfit, young and old alike.
Short or fragmented sleep lowers next-morning HRV, and a night that looks long on a tracker can still be poor — our guide to sleep tracking metrics covers which numbers to trust. Illness typically drops HRV a day or two before symptoms. Psychological stress lowers it through the same prefrontal-vagal pathway Thayer describes. Dehydration, heat and a late heavy meal all suppress it acutely.
How to measure HRV properly
- Same device, same time, same position. Overnight readings from a ring or watch, or a morning reading lying down before getting up, are both fine; mixing them is not.
- Check the device is credible. Stone and colleagues compared popular wearables with ECG and found the better ones agree closely on nocturnal RMSSD; chest straps remain the reference for spot checks.
- Read the 7-day average against a 4-week baseline. A weekly average drifting below your longer baseline is the signal; a single red morning is not.
- Log the context. Alcohol, illness, travel, a hard session, a bad night: without those notes a falling HRV is just a falling number.
Can you improve your HRV?
Indirectly, yes — by doing the things that improve recovery. Regular aerobic training raises resting HRV over months. Consistent, sufficient sleep and less alcohol remove the two biggest nightly suppressors. Slow breathing at around six breaths per minute — the "resonance frequency" described by Lehrer and Gevirtz — produces the largest acute swings in HRV and, practised daily, modestly raises baseline in biofeedback trials. What does not work is chasing the number itself; HRV is an output of your physiology, not an input to it.
What to track alongside HRV
HRV on its own answers "how recovered am I?" but not "why?". The second question needs the surrounding data:
- Resting heart rate, which usually moves opposite to HRV and confirms a trend.
- Sleep duration and quality, the biggest night-to-night driver.
- Alcohol and late meals, the biggest self-inflicted ones.
- Training load and mood, so a low week can be attributed to the right cause.
tr8ck's recovery view reads overnight HRV and resting heart rate from Apple Health — from whatever watch or ring writes them there — and shows each morning's reading against your own 28-day baseline, next to the sleep, mood, alcohol and training you have logged. A ring like Oura or a band like Whoop will measure HRV more precisely than a phone can; what tr8ck adds is the rest of the picture, so you can see which of your habits actually moves the number. We set out the trade-offs honestly in tr8ck vs Whoop and tr8ck vs Oura.
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tr8ck lines up your overnight HRV and resting heart rate with the sleep, alcohol, training and mood you log — and shows every reading against your own baseline, not a stranger's.
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Medical disclaimer: This article is for informational purposes only and does not constitute medical advice. Heart rate variability from consumer devices is a wellness metric, not a diagnostic test. If you notice a persistent, unexplained fall in HRV, palpitations, an irregular heartbeat, chest pain or unusual breathlessness, speak to a qualified healthcare professional.
Sources
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