Performance of the Verily Study Watch for Measuring Sleep Compared to Polysomnography

Sohrab Saeb, Benjamin W Nelson, Poulami Barman, Nishant Verma, Hannah Allen, Massimiliano de Zambotti, Fiona C. Baker, Nicole Arra, Niranjan Sridhar, Shannon Sullivan, Scooter Plowman, Erin Rainaldi, Ritu Kapur, Sooyoon Shin
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Abstract

This study evaluated the performance of a wrist-worn wearable, Verily Study Watch (VSW), in detecting key sleep measures against polysomnography (PSG). Methods: We 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 versus 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, Cohens kappa, and Bland-Altman analyses. Results: Sensitivity and specificity (95% CIs) of sleep versus wake classification were 0.97 (0.96, 0.98) and 0.70 (0.66, 0.74), respectively. Cohens 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 minutes (5.55, 23.20) for TST, -13.1 minutes (-21.33, -6.21) for WASO, 2.97% (1.25, 4.84) for SE, -1.34 minutes (-7.29, 4.81) for SOL, 1.91 minutes (-8.28, 11.98) for light sleep duration, 5.24 minutes (-3.35, 14.13) for deep sleep duration, and 6.39 minutes (-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. Discussion: Results support applying the VSW to track overnight sleep measures in free-living settings. Registered at clinicaltrials.gov (NCT05276362).
与多导睡眠监测仪相比,Verily 研究手表测量睡眠的性能更佳
本研究评估了腕戴式可穿戴设备 Verily Study Watch(VSW)在检测主要睡眠指标方面与多导睡眠图(PSG)的性能对比。研究方法我们收集了 41 名成人的数据,他们没有阻塞性睡眠呼吸暂停或失眠症,在实验室进行了一次过夜访问。我们对睡眠与觉醒分类、睡眠阶段分类和持续时间、总睡眠时间 (TST)、睡眠开始后觉醒 (WASO)、睡眠开始潜伏期 (SOL)、睡眠效率 (SE) 和觉醒次数 (NAWK) 进行了逐次评估。性能指标包括灵敏度、特异性、Cohens kappa 和 Bland-Altman 分析。结果睡眠与觉醒分类的灵敏度和特异度(95% CIs)分别为 0.97 (0.96, 0.98) 和 0.70 (0.66, 0.74)。四级阶段检测的科恩斯卡帕(95% CI)为 0.64 (0.18, 0.82)。大多数 VSW 睡眠测量都存在比例偏差。TST 的平均偏差值(95% CI)为 14.0 分钟(5.55, 23.20),WASO 为-13.1 分钟(-21.33, -6.21),SE 为 2.97% (1.25, 4.84),SOL 为-1.34 分钟(-7.29, 4.81),浅睡眠持续时间为 1.91 分钟(-8.28,11.98),深睡眠持续时间为 5.24 分钟(-3.35,14.13),快速动眼睡眠持续时间为 6.39 分钟(-0.68,13.18)。NAWK计数差异的平均值和中位数(95% CI)分别为0.05(-0.42,0.53)和0.0(0.0,0.0)。讨论研究结果支持应用 VSW 追踪自由生活环境中的夜间睡眠情况。已在 clinicaltrials.gov 注册(NCT05276362)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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