Performance of the Verily Study Watch for measuring sleep compared to polysomnography
IntroductionThis study evaluated the performance of a wrist-worn wearable, Verily Study Watch (VSW), in detecting key sleep measures against polysomnography (PSG).MethodsWe collected data from 41 adults without obstructive sleep apnea or insomnia during a single overnight laboratory visit. We evalua...
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Frontiers Media S.A.
2024-12-01
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| Series: | Frontiers in Sleep |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/frsle.2024.1481878/full |
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| author | Sohrab Saeb Benjamin W. Nelson Benjamin W. Nelson Poulami Barman Nishant Verma Hannah Allen Massimiliano de Zambotti Fiona C. Baker Nicole Arra Niranjan Sridhar Shannon S. Sullivan Shannon S. Sullivan Scooter Plowman Erin Rainaldi Ritu Kapur Ritu Kapur Sooyoon Shin |
| author_facet | Sohrab Saeb Benjamin W. Nelson Benjamin W. Nelson Poulami Barman Nishant Verma Hannah Allen Massimiliano de Zambotti Fiona C. Baker Nicole Arra Niranjan Sridhar Shannon S. Sullivan Shannon S. Sullivan Scooter Plowman Erin Rainaldi Ritu Kapur Ritu Kapur Sooyoon Shin |
| author_sort | Sohrab Saeb |
| collection | DOAJ |
| description | IntroductionThis study evaluated the performance of a wrist-worn wearable, Verily Study Watch (VSW), in detecting key sleep measures against polysomnography (PSG).MethodsWe collected data from 41 adults without obstructive sleep apnea or insomnia during a single overnight laboratory visit. We evaluated epoch-by-epoch performance for sleep vs. wake classification, sleep stage classification and duration, total sleep time (TST), wake after sleep onset (WASO), sleep onset latency (SOL), sleep efficiency (SE), and number of awakenings (NAWK). Performance metrics included sensitivity, specificity, Cohen's kappa, and Bland-Altman analyses.ResultsSensitivity and specificity (95% CIs) of sleep vs. wake classification were 0.97 (0.96, 0.98) and 0.70 (0.66, 0.74), respectively. Cohen's kappa (95% CI) for 4-class stage detection was 0.64 (0.18, 0.82). Most VSW sleep measures had proportional bias. The mean bias values (95% CI) were 14.0 min (5.55, 23.20) for TST, −13.1 min (−21.33, −6.21) for WASO, 2.97% (1.25, 4.84) for SE, −1.34 min (−7.29, 4.81) for SOL, 1.91 min (−8.28, 11.98) for light sleep duration, 5.24 min (−3.35, 14.13) for deep sleep duration, and 6.39 min (−0.68, 13.18) for REM sleep duration. Mean and median NAWK count differences (95% CI) were 0.05 (−0.42, 0.53) and 0.0 (0.0, 0.0), respectively.DiscussionResults support applying the VSW to track overnight sleep measures in free-living settings. Registered at clinicaltrials.gov (NCT05276362). |
| format | Article |
| id | doaj-art-727a2eefd01e4a2bb88d0daf1e002ecb |
| institution | OA Journals |
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| language | English |
| publishDate | 2024-12-01 |
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| series | Frontiers in Sleep |
| spelling | doaj-art-727a2eefd01e4a2bb88d0daf1e002ecb2025-08-20T01:58:52ZengFrontiers Media S.A.Frontiers in Sleep2813-28902024-12-01310.3389/frsle.2024.14818781481878Performance of the Verily Study Watch for measuring sleep compared to polysomnographySohrab Saeb0Benjamin W. Nelson1Benjamin W. Nelson2Poulami Barman3Nishant Verma4Hannah Allen5Massimiliano de Zambotti6Fiona C. Baker7Nicole Arra8Niranjan Sridhar9Shannon S. Sullivan10Shannon S. Sullivan11Scooter Plowman12Erin Rainaldi13Ritu Kapur14Ritu Kapur15Sooyoon Shin16Verily Life Sciences, South San Francisco, CA, United StatesVerily Life Sciences, South San Francisco, CA, United StatesDivision of Digital Psychiatry, Department of Psychiatry, Harvard Medical School and Beth Israel Deaconess Medical Center, Boston, MA, United StatesVerily Life Sciences, South San Francisco, CA, United StatesVerily Life Sciences, South San Francisco, CA, United StatesVerily Life Sciences, South San Francisco, CA, United StatesCenter for Health Sciences, Stanford Research Institute (SRI), Menlo Park, CA, United StatesCenter for Health Sciences, Stanford Research Institute (SRI), Menlo Park, CA, United StatesCenter for Health Sciences, Stanford Research Institute (SRI), Menlo Park, CA, United StatesVerily Life Sciences, South San Francisco, CA, United StatesVerily Life Sciences, South San Francisco, CA, United StatesDivision of Pulmonary, Asthma, and Sleep Medicine, Department of Pediatrics, Stanford University School of Medicine, Palo Alto, CA, United StatesVerily Life Sciences, South San Francisco, CA, United StatesVerily Life Sciences, South San Francisco, CA, United StatesVerily Life Sciences, South San Francisco, CA, United StatesDepartment of Neurology, Radboud University Medical Center, Nijmegen, NetherlandsVerily Life Sciences, South San Francisco, CA, United StatesIntroductionThis study evaluated the performance of a wrist-worn wearable, Verily Study Watch (VSW), in detecting key sleep measures against polysomnography (PSG).MethodsWe collected data from 41 adults without obstructive sleep apnea or insomnia during a single overnight laboratory visit. We evaluated epoch-by-epoch performance for sleep vs. wake classification, sleep stage classification and duration, total sleep time (TST), wake after sleep onset (WASO), sleep onset latency (SOL), sleep efficiency (SE), and number of awakenings (NAWK). Performance metrics included sensitivity, specificity, Cohen's kappa, and Bland-Altman analyses.ResultsSensitivity and specificity (95% CIs) of sleep vs. wake classification were 0.97 (0.96, 0.98) and 0.70 (0.66, 0.74), respectively. Cohen's kappa (95% CI) for 4-class stage detection was 0.64 (0.18, 0.82). Most VSW sleep measures had proportional bias. The mean bias values (95% CI) were 14.0 min (5.55, 23.20) for TST, −13.1 min (−21.33, −6.21) for WASO, 2.97% (1.25, 4.84) for SE, −1.34 min (−7.29, 4.81) for SOL, 1.91 min (−8.28, 11.98) for light sleep duration, 5.24 min (−3.35, 14.13) for deep sleep duration, and 6.39 min (−0.68, 13.18) for REM sleep duration. Mean and median NAWK count differences (95% CI) were 0.05 (−0.42, 0.53) and 0.0 (0.0, 0.0), respectively.DiscussionResults support applying the VSW to track overnight sleep measures in free-living settings. Registered at clinicaltrials.gov (NCT05276362).https://www.frontiersin.org/articles/10.3389/frsle.2024.1481878/fullsleep-wake detectionsleep stagedigital health measurespolysomnographyfree-livingsleep detection accuracy |
| spellingShingle | Sohrab Saeb Benjamin W. Nelson Benjamin W. Nelson Poulami Barman Nishant Verma Hannah Allen Massimiliano de Zambotti Fiona C. Baker Nicole Arra Niranjan Sridhar Shannon S. Sullivan Shannon S. Sullivan Scooter Plowman Erin Rainaldi Ritu Kapur Ritu Kapur Sooyoon Shin Performance of the Verily Study Watch for measuring sleep compared to polysomnography Frontiers in Sleep sleep-wake detection sleep stage digital health measures polysomnography free-living sleep detection accuracy |
| title | Performance of the Verily Study Watch for measuring sleep compared to polysomnography |
| title_full | Performance of the Verily Study Watch for measuring sleep compared to polysomnography |
| title_fullStr | Performance of the Verily Study Watch for measuring sleep compared to polysomnography |
| title_full_unstemmed | Performance of the Verily Study Watch for measuring sleep compared to polysomnography |
| title_short | Performance of the Verily Study Watch for measuring sleep compared to polysomnography |
| title_sort | performance of the verily study watch for measuring sleep compared to polysomnography |
| topic | sleep-wake detection sleep stage digital health measures polysomnography free-living sleep detection accuracy |
| url | https://www.frontiersin.org/articles/10.3389/frsle.2024.1481878/full |
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