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May 10, 2026SLEEP0 citations

1279 Comparative Evaluation of Consumer Sleep Trackers in Real-World Home Environments Using Home Polysomnography

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SKSeunghun KimECEunsung ChoSLSujin Lee

Key Points

  • This study assesses the accuracy of consumer sleep trackers in real-world home environments compared to polysomnography.
  • Eight adults participated in overnight monitoring within their home environment.
  • Five consumer sleep trackers were simultaneously worn alongside a type 2 home polysomnography device.
  • Sleep stages were evaluated across 9,441 epochs, using epoch-by-epoch comparisons for accuracy.
  • Sleep Routine achieved the highest macro F1 score of 0.83 and an accuracy of 86.5%.
  • Apple Watch had a macro F1 score of 0.79 and accuracy of 84.0%.
  • Galaxy Watch showed the smallest mean bias for sleep onset time (-0.2 min) with higher variability.

Abstract

Abstract Introduction Consumer sleep trackers (CSTs) are increasingly used for daily sleep monitoring, yet their performance in real-world home environments remains insufficiently characterized. Most existing validations have been conducted in controlled laboratory settings, which may not fully reflect everyday sleeping conditions. This study aimed to evaluate the accuracy of five common CSTs, including two smartwatch-based, two ring-based, and one airable device, by directly comparing their measurements against simultaneously collected home polysomnography (PSG) in participants’ habitual sleep environments. Methods Eight adults participated, each undergoing overnight monitoring in their typical home setting while minimizing external noise and ensuring single-sleeper conditions. Five CSTs (Apple Watch, Galaxy Watch, Galaxy Ring, Oura Ring, and Sleep Routine) were worn concurrently along with a type 2 home PSG device (Embletta MPR PG 0.1 min) and the lowest MAE (1.0 min). Conclusion In real-world home environments, all CSTs demonstrated generally high performance, with every device achieving a macro F1 score above 0.70. These findings indicate that CSTs can achieve reliable performance under naturalistic yet controlled home conditions, while also showing performance differences across device types and sensing modalities. Larger and more diverse studies will further enhance the generalizability of these results. Support (if any)

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Cite This Study

Kim et al. (2026) studied this question.

synapsesocial.com/papers/6a002087c8f74e3340f9b669https://doi.org/10.1093/sleep/zsag091.1278
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