Evidence map›Paper›PMID 33038869›Full record

ArticleJMIR mHealth and uHealth2020

Sleep Tracking of a Commercially Available Smart Ring and Smartwatch Against Medical-Grade Actigraphy in Everyday Settings: Instrument Validation Study.

Milad Asgari Mehrabadi, Iman Azimi, Fatemeh Sarhaddi, Anna Axelin, Hannakaisa Niela-Vilén, Saana Myllyntausta, Sari Stenholm, Nikil Dutt, Pasi Liljeberg, Amir M Rahmani

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

71 citing papers in PubMed.

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  16. 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 · 2025
    Article
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11 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Milad Asgari MehrabadiDepartment of Electrical Engineering and Computer Science, University of California Irvine, Irvine, CA, United States.ORCID 0000-0001-5412-4509
Iman AzimiDepartment of Computing, University of Turku, Turku, Finland.ORCID 0000-0001-5003-299X
Fatemeh SarhaddiDepartment of Computing, University of Turku, Turku, Finland.ORCID 0000-0002-5750-5793
Anna AxelinDepartment of Nursing Science, University of Turku, Turku, Finland.ORCID 0000-0003-2743-3589
Hannakaisa Niela-VilénDepartment of Nursing Science, University of Turku, Turku, Finland.ORCID 0000-0002-8646-6551
Saana MyllyntaustaDepartment of Public Health, University of Turku and Turku University Hospital, Turku, Finland.ORCID 0000-0002-6503-3829
Sari StenholmDepartment of Public Health, University of Turku and Turku University Hospital, Turku, Finland.ORCID 0000-0001-7560-0930
Nikil DuttDepartment of Electrical Engineering and Computer Science, University of California Irvine, Irvine, CA, United States.ORCID 0000-0002-3060-8119
Pasi LiljebergDepartment of Computing, University of Turku, Turku, Finland.ORCID 0000-0002-9392-3589
Amir M RahmaniDepartment of Electrical Engineering and Computer Science, University of California Irvine, Irvine, CA, United States.ORCID 0000-0003-0725-1155

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Sleep Initiation and Maintenance DisordersWearable Electronic DevicesActigraphyAdultFemaleHumansMalePolysomnographySleepactigraphysleepsmart ringsmartwatchwearable technology

Identifiers

PMID33038869
PMCPMC7669442

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.