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Accuracy of Three Commercial Wearable Devices for Sleep Tracking in Healthy Adults
Robbins, Weaver, Sullivan, Quan, Gilmore, Shaw, Benz, Qadri, Barger, Czeisler, Duffy · 2024 · Sensors 24(20):6532
What this work gives Aellic
n = 35 against laboratory polysomnography: Oura performs best among the consumer devices (κ 0.65 on the four-stage classification, ahead of Apple Watch 0.60 and Fitbit Sense 0.55) — but remains far from polysomnography.
Correction of 25 July 2026
The author line read “Chinoy, Robbins et al.”; Evan Chinoy is not involved in this paper.
The entry on the register was wrong. It was not replaced but kept, with what holds instead standing next to it.
Where this sits in the engine
1 declared site: constants and thresholds in the code that point at this entry.
- Sleep Sleep stages and bedtime 1 site