Validated, not vibes.
A wearable is only as useful as it is accurate, and accuracy is only meaningful if it is measured against the reference. This page is our standing commitment to publish how we test, what we found, and where we fall short.
Earring PPG vs. reference ECG · overnight
Four rules we test by.
- 01
Measured against the reference, not the competition
Sleep against polysomnography. Heart rate against chest-strap ECG. Temperature against clinical thermometry. We publish the protocol before we publish the number.
- 02
Per-stage, per-person, per-skin-tone
Averages hide failures. We report accuracy by sleep stage, by activity type and across the Fitzpatrick skin-tone scale, and we keep improving where the signal is hardest.
- 03
Open scoring
Every score has a contributors page that shows what moved it and by how much. No black boxes, and no surprise algorithm changes without a changelog.
- 04
Wellness, not diagnosis
Nurnex is not a medical device. We say clearly what it can and cannot detect, and we design alerts to send you to a clinician, not to replace one.
What we have measured so far.
Results are placeholders until each study clears review — we would rather show an empty cell than a rounded-up one.
| Study | Metric | Result | Reference | n | Status |
|---|---|---|---|---|---|
| Sleep staging agreement vs. polysomnography | 4-stage epoch agreement | PLACEHOLDER % | In-lab PSG, scored by two technologists | n = — | Peer review |
| Nocturnal heart rate & HRV accuracy | Mean absolute error vs. ECG | PLACEHOLDER bpm / ms | Holter ECG, overnight | n = — | Published |
| Workout heart rate across modalities | MAE vs. chest strap | PLACEHOLDER bpm | Running, cycling, strength, rowing | n = — | Published |
| Temperature-based ovulation confirmation | Agreement with LH surge | PLACEHOLDER % | Urinary LH tests | n = — | In progress |
The people who tell us when we are wrong.
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Sleep medicine
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Cardiology
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Reproductive endocrinology
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Exercise physiology
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Nurnex for Research
Universities and clinical teams use Nurnex for long-term, low-burden physiological monitoring. Raw data access, a research API and IRB-ready documentation are available.