{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T06:11:53Z","timestamp":1792735913967,"version":"4.5.0"},"reference-count":26,"publisher":"Public Library of Science (PLoS)","issue":"9","license":[{"start":{"date-parts":[[2025,9,30]],"date-time":"2025-09-30T00:00:00Z","timestamp":1759190400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012165","name":"Key Technologies Research and Development Program","doi-asserted-by":"publisher","award":["2018YFC2000803"],"award-info":[{"award-number":["2018YFC2000803"]}],"id":[{"id":"10.13039\/501100012165","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS One"],"abstract":"<jats:sec id=\"sec001\">\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>Sleep-wearable technology has developed rapidly. However, few carried out validation in the real clinical settings. This study aimed to validate the performance of a consumer-grade sleep-tracking device compared to polysomnography (PSG) in participants from sleep clinics.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"sec002\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Participants referred to sleep clinic from 2021 to 2023 were recruited. Demographics and sleep questionnaires were also collected. All participants completed the PSG test in a sleep laboratory, along with a smart watch (HUAWEI WATCH GT2) that collected movement and heart rate signals using built-in sensors. Epoch-by-epoch agreement analysis and the Bland-Altman method were applied to evaluate the performance of smart watch.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"sec003\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>98 participants were included in this study. 82 of them were men, with a mean age of 45.3\u2009\u00b1\u200910.6 years. The smart watch had a high sensitivity (95.9%), accuracy (87.3%), positive predictive value (72.2%), and relatively low specificity (47.9%) for sleep\/wake performance. Sleep staging comparisons were mixed. Comparing to PSG, although smart watch tended to overestimate total sleep time (+28.7\u2009min, P\u2009=\u20090.001), sleep efficiency (+5.94%, P\u2009&lt;\u20090.001), sleep onset latency (+8.53\u2009min, P\u2009&lt;\u20090.001) and underestimate wake after sleep onset (\u221237.00\u2009min, P\u2009&lt;\u20090.001), acceptable agreement was observed in sleep\/wake detection (Kappa coefficient&gt;0.4), total sleep time and sleep efficiency (intraclass correlation coefficient&gt;0.4). This agreement was less satisfactory in patients with OSA or insomnia.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"sec004\">\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>This study compared the performance of a consumer-grade sleep-tracking device with that of PSG. The HUAWEI WATCH GT2 exhibited high agreement in sleep\/wake detection. Such devices could be used as alternatives for successive sleep detection and could provide significant benefits to sleep hygiene with more advanced algorithms in the future.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1371\/journal.pone.0330774","type":"journal-article","created":{"date-parts":[[2025,9,30]],"date-time":"2025-09-30T17:22:57Z","timestamp":1759252977000},"page":"e0330774","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":12,"title":["Validity and clinical utility of a wrist-worn device against polysomnography"],"prefix":"10.1371","volume":"20","author":[{"given":"Junwei","family":"Guo","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinmei","family":"Luo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi","family":"Xiao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9584-0501","authenticated-orcid":true,"given":"Rong","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"340","published-online":{"date-parts":[[2025,9,30]]},"reference":[{"issue":"12","key":"pone.0330774.ref001","doi-asserted-by":"crossref","first-page":"2075","DOI":"10.5664\/jcsm.7540","article-title":"Clinical Use of a Home Sleep Apnea Test: An Updated American Academy of Sleep Medicine Position Statement","volume":"14","author":"IM Rosen","year":"2018","journal-title":"J Clin Sleep Med"},{"issue":"11","key":"pone.0330774.ref002","article-title":"Wearable Health Devices in Health Care: Narrative Systematic Review","volume":"8","author":"L Lu","year":"2020","journal-title":"JMIR Mhealth Uhealth"},{"issue":"5","key":"pone.0330774.ref003","doi-asserted-by":"crossref","DOI":"10.1093\/sleep\/zsaa291","article-title":"Performance of seven consumer sleep-tracking devices compared with polysomnography","volume":"44","author":"ED Chinoy","year":"2021","journal-title":"Sleep"},{"issue":"22","key":"pone.0330774.ref004","doi-asserted-by":"crossref","first-page":"2631","DOI":"10.1080\/02640414.2020.1797448","article-title":"A validation study of the WHOOP strap against polysomnography to assess sleep","volume":"38","author":"DJ Miller","year":"2020","journal-title":"J Sports Sci"},{"issue":"4","key":"pone.0330774.ref005","doi-asserted-by":"crossref","first-page":"465","DOI":"10.1080\/07420528.2017.1413578","article-title":"A validation study of Fitbit Charge 2\u2122 compared with polysomnography in adults","volume":"35","author":"M de Zambotti","year":"2018","journal-title":"Chronobiol Int"},{"issue":"4","key":"pone.0330774.ref006","article-title":"Ability of the Fitbit Alta HR to quantify and classify sleep in patients with suspected central disorders of hypersomnolence: A comparison against polysomnography","volume":"28","author":"JD Cook","year":"2019","journal-title":"J Sleep Res"},{"issue":"11","key":"pone.0330774.ref007","doi-asserted-by":"crossref","first-page":"1645","DOI":"10.5664\/jcsm.8032","article-title":"Validation of Fitbit Charge 2 and Fitbit Alta HR Against Polysomnography for Assessing Sleep in Adults With Obstructive Sleep Apnea","volume":"15","author":"F Moreno-Pino","year":"2019","journal-title":"J Clin Sleep Med"},{"key":"pone.0330774.ref008","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1016\/j.jpsychores.2017.03.009","article-title":"Validity of a commercial wearable sleep tracker in adult insomnia disorder patients and good sleepers","volume":"97","author":"S-G Kang","year":"2017","journal-title":"J Psychosom Res"},{"key":"pone.0330774.ref009","unstructured":"Global Wrist-Worn Device Market Ships Almost 44 Million Units in 2Q 2024, Led by China\u2019s 10.9% YoY Growth. 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