Cardivo guides
HRV explained: RMSSD, SDNN, and what's “good”
Key takeaways
- HRV is the variation in time between heartbeats, measured in milliseconds.
- Higher HRV compared with your own baseline usually signals good recovery; a drop often follows stress, poor sleep, alcohol, illness, or hard training.
- RMSSD reflects rest-and-digest (vagal) activity; SDNN reflects overall variability.
- HRV is highly individual and falls with age — compare yourself to yourself, at the same time each day.
Your heart doesn't beat like a metronome. Even at 60 bpm, the gap between two beats might be 980 milliseconds, then 1,030, then 1,000. That beat-to-beat variation is heart rate variability (HRV). It reflects the push and pull between the two branches of your autonomic nervous system: the "fight or flight" sympathetic side and the "rest and digest" parasympathetic side.
The main HRV metrics
| Metric | What it measures | What it tends to reflect |
|---|---|---|
| Mean RR | Average time between beats (ms) | The inverse of heart rate — longer RR means a slower pulse |
| RMSSD | How much each beat-to-beat interval differs from the next | Parasympathetic (vagal) "rest and digest" activity; the most common short-term HRV metric |
| SDNN | Standard deviation of all beat intervals | Overall variability; more meaningful over longer recordings |
| AMo50 | Share of beat intervals clustered around the most common value | Higher values suggest a more rigid, stress-dominated rhythm |
| HRV score | Cardivo's simplified 0–100 summary | An at-a-glance read compared with your typical range |
What is a good HRV?
There's no universal good number. HRV varies widely between healthy people and naturally declines with age. Genetics, fitness, breathing, and even the length of the recording change it. That's why researchers and coaches focus on your personal baseline: a reading well below your usual range is more meaningful than comparing your RMSSD with a friend's.
Things that often lower HRV: stress, short or poor sleep, alcohol, illness, dehydration, and hard training without recovery. Things that often support it over time: regular aerobic exercise, consistent sleep, slow breathing, and managing stress.
How to measure HRV consistently
- Measure at the same time each day — first thing in the morning works well.
- Sit or lie down, breathe normally, and stay still and quiet.
- Look at weekly trends rather than reacting to one reading.
Measuring HRV with your iPhone
Apple Watch records HRV as SDNN in Apple Health. Without a watch, Cardivo measures HRV from your fingertip on the iPhone camera in about 30 seconds and reports HRV score, Mean RR, RMSSD, SDNN, and AMo50 — each with one plain-English sentence and your typical range. Short recordings are best suited to RMSSD-style metrics; Cardivo treats every value as a wellness trend, not a diagnosis.
When HRV isn't the right tool
HRV can't diagnose heart rhythm problems such as atrial fibrillation. If you feel palpitations, fainting, chest pain, or shortness of breath, see a doctor — and call 911 in an emergency.
This guide is general wellness education based on the public sources below. It is not medical advice, diagnosis, or treatment. Cardivo is not a medical device. If you think you are having a medical emergency, call 911.
Frequently asked questions
What is a normal HRV?
There's no single normal value. HRV differs a lot between people and drops with age. The most useful comparison is with your own baseline, measured the same way at the same time of day.
Is higher HRV better?
Generally, higher HRV relative to your own baseline suggests better recovery and parasympathetic activity. A sudden drop often follows stress, poor sleep, alcohol, or illness.
What's the difference between RMSSD and SDNN?
RMSSD looks at differences between consecutive heartbeats and mainly reflects rest-and-digest (vagal) activity. SDNN is the overall spread of all beat intervals and is more meaningful over longer recordings. Apple Health reports SDNN.
Can I measure HRV without an Apple Watch?
Yes. Cardivo measures HRV from your fingertip on the iPhone camera in about 30 seconds, reporting RMSSD, SDNN, Mean RR, AMo50, and an HRV score.
Sources
- Shaffer & Ginsberg (2017), An overview of heart rate variability metrics and norms, Frontiers in Public Health
- Task Force of the ESC and NASPE (1996), Heart rate variability: standards of measurement, Circulation
- Cleveland Clinic — Heart rate variability