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

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          Abstract

          Background

          Assessment 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.

          Objective

          This 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.

          Methods

          We 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.

          Results

          We 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.

          Conclusions

          In 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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          Most cited references48

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          STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT

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            Physical activity in the United States measured by accelerometer.

            To describe physical activity levels of children (6-11 yr), adolescents (12-19 yr), and adults (20+ yr), using objective data obtained with accelerometers from a representative sample of the U.S. population. These results were obtained from the 2003-2004 National Health and Nutritional Examination Survey (NHANES), a cross-sectional study of a complex, multistage probability sample of the civilian, noninstitutionalized U.S. population in the United States. Data are described from 6329 participants who provided at least 1 d of accelerometer data and from 4867 participants who provided four or more days of accelerometer data. Males are more physically active than females. Physical activity declines dramatically across age groups between childhood and adolescence and continues to decline with age. For example, 42% of children ages 6-11 yr obtain the recommended 60 min x d(-1) of physical activity, whereas only 8% of adolescents achieve this goal. Among adults, adherence to the recommendation to obtain 30 min x d(-1) of physical activity is less than 5%. Objective and subjective measures of physical activity give qualitatively similar results regarding gender and age patterns of activity. However, adherence to physical activity recommendations according to accelerometer-measured activity is substantially lower than according to self-report. Great care must be taken when interpreting self-reported physical activity in clinical practice, public health program design and evaluation, and epidemiological research.
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              Internet of Things (IoT): A vision, architectural elements, and future directions

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                Author and article information

                Contributors
                Journal
                JMIR Mhealth Uhealth
                JMIR Mhealth Uhealth
                JMU
                JMIR mHealth and uHealth
                JMIR Publications (Toronto, Canada )
                2291-5222
                November 2020
                2 November 2020
                : 8
                : 10
                : e20465
                Affiliations
                [1 ] Department of Electrical Engineering and Computer Science University of California Irvine Irvine, CA United States
                [2 ] Department of Computing University of Turku Turku Finland
                [3 ] Department of Nursing Science University of Turku Turku Finland
                [4 ] Department of Obstetrics and Gynaecology Turku University Hospital Turku Finland
                [5 ] Department of Public Health University of Turku and Turku University Hospital Turku Finland
                [6 ] School of Educational Sciences and Psychology University of Eastern Finland Joensuu, Kuopio Finland
                [7 ] Centre for Population Health Research University of Turku and Turku University Hospital Turku Finland
                [8 ] Department of Computer Science University of California Irvine Irvine, CA United States
                [9 ] School of Nursing University of California Irvine Irvine, CA United States
                Author notes
                Corresponding Author: Milad Asgari Mehrabadi masgarim@ 123456uci.edu
                Author information
                https://orcid.org/0000-0001-5412-4509
                https://orcid.org/0000-0001-5003-299X
                https://orcid.org/0000-0002-5750-5793
                https://orcid.org/0000-0003-2743-3589
                https://orcid.org/0000-0002-8646-6551
                https://orcid.org/0000-0002-6503-3829
                https://orcid.org/0000-0001-7560-0930
                https://orcid.org/0000-0002-3060-8119
                https://orcid.org/0000-0002-9392-3589
                https://orcid.org/0000-0003-0725-1155
                Article
                v8i10e20465
                10.2196/20465
                7669442
                33038869
                8142e534-3449-4328-af91-37bab97583c7
                ©Milad Asgari Mehrabadi, Iman Azimi, Fatemeh Sarhaddi, Anna Axelin, Hannakaisa Niela-Vilén, Saana Myllyntausta, Sari Stenholm, Nikil Dutt, Pasi Liljeberg, Amir M Rahmani. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 02.11.2020.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.

                History
                : 19 May 2020
                : 7 August 2020
                : 4 September 2020
                : 23 September 2020
                Categories
                Original Paper
                Original Paper

                sleep,smart ring,smartwatch,actigraphy,wearable technology
                sleep, smart ring, smartwatch, actigraphy, wearable technology

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