ArticleJMIR mHealth and uHealth2020
Sleep Tracking of a Commercially Available Smart Ring and Smartwatch Against Medical-Grade Actigraphy in Everyday Settings: Instrument Validation Study.
Article in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.
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Who cites it
71 citing papers in PubMed.
- Adjunctive smart ring monitoring during digital cognitive behavioral therapy for insomnia.Scientific reports · 2025Trial
- Effects of PeptiSleep™ on sleep modification and biometrics in adults with sleep impairment: A randomised, placebo-controlled pilot study.Sleep medicine: X · 2026Article
- The Sleep and Diet of Elite Female Australian Rules Football Athletes Differ With Age and Season Phase.European journal of sport science · 2026Article
- Severity of depression and anxiety symptoms is reflected in physiological and behavioral metrics collected from a consumer-grade wearable ring.BMC medicine · 2026Article
- Sleep irregularity is associated with reduced wellbeing in patients with cirrhosis.JHEP reports : innovation in hepatology · 2026Article
- Sleep Characteristics and Menstrual Cycle Phase-Based Differences in Sleep in Naturally Menstruating Elite Female Team Sport Athletes.European journal of sport science · 2026Article
- Sleep and Cardiovascular Health Among Women With a History of Hypertensive Disorders of Pregnancy: Pilot Observational Study.JMIR cardio · 2026Observational
- Decoding menstrual health across the lifespan: a scoping review of digital health tools in research.medRxiv : the preprint server for health sciences · 2026Article
- Decoding menstrual health across the lifespan: a scoping review of digital health tools in research.npj women's health · 2026Article
- Big data integration for enhanced epidemiological research: insights and directions from NHLBI's workshop.Frontiers in digital health · 2026Article
- Internet-delivered cognitive behavioral therapy for insomnia: The future of insomnia treatment with large language models.Sleep medicine: X · 2025Review
- Heterogeneous effects of physical activity on physiological stress during pregnancy.PLOS digital health · 2025Article
- Passive Sensing for Mental Health Monitoring Using Machine Learning With Wearables and Smartphones: Scoping Review.Journal of medical Internet research · 2025Article
- How different training sessions affect the sleep of professional soccer players.Biology of sport · 2025Article
- Preadolescent Children Using Real-Time Heart Rate During Moderate to Vigorous Physical Activity: A Feasibility Study.JMIR human factors · 2025Article
- A deep learning-enabled smart garment for accurate and versatile monitoring of sleep conditions in daily life.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- A systematic review of passive data for remote monitoring in psychosis and schizophrenia.NPJ digital medicine · 2025Article
- Discrepancies between subjective and objective sleep assessments revealed by in-home electroencephalography during real-world sleep.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Validation of Sleep Measurements of an Actigraphy Watch: Instrument Validation Study.JMIR formative research · 2025Article
- Influence of next-generation artificial intelligence on headache research, diagnosis and treatment: the junior editorial board members' vision - part 2.The journal of headache and pain · 2025Review
11 more citing papers are in PubMed but not listed here.
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAssessment of sleep quality is essential to address poor sleep quality and understand changes. Owing to the advances in the Internet of Things and wearable technologies, sleep monitoring under free-living conditions has become feasible and practicable. Smart rings and smartwatches can be employed to perform mid- or long-term home-based sleep monitoring. However, the validity of such wearables should be investigated in terms of sleep parameters. Sleep validation studies are mostly limited to short-term laboratory tests; there is a need for a study to assess the sleep attributes of wearables in everyday settings, where users engage in their daily routines.
objectiveThis study aims to evaluate the sleep parameters of the Oura ring along with the Samsung Gear Sport watch in comparison with a medically approved actigraphy device in a midterm everyday setting, where users engage in their daily routines.
methodsWe conducted home-based sleep monitoring in which the sleep parameters of 45 healthy individuals (23 women and 22 men) were tracked for 7 days. Total sleep time (TST), sleep efficiency (SE), and wake after sleep onset (WASO) of the ring and watch were assessed using paired t tests, Bland-Altman plots, and Pearson correlation. The parameters were also investigated considering the gender of the participants as a dependent variable.
resultsWe found significant correlations between the ring's and actigraphy's TST (r=0.86; P<.001), WASO (r=0.41; P<.001), and SE (r=0.47; P<.001). Comparing the watch with actigraphy showed a significant correlation in TST (r=0.59; P<.001). The mean differences in TST, WASO, and SE of the ring and actigraphy were within satisfactory ranges, although there were significant differences between the parameters (P<.001); TST and SE mean differences were also within satisfactory ranges for the watch, and the WASO was slightly higher than the range (31.27, SD 35.15). However, the mean differences of the parameters between the watch and actigraphy were considerably higher than those of the ring. The watch also showed a significant difference in TST (P<.001) between female and male groups.
conclusionsIn a sample population of healthy adults, the sleep parameters of both the Oura ring and Samsung watch have acceptable mean differences and indicate significant correlations with actigraphy, but the ring outperforms the watch in terms of the nonstaging sleep parameters.
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