Department of Psychology and Neuroscience, Baylor University, Waco, Texas.
School of Medicine, Baylor College of Medicine, Houston, Texas.
J Clin Sleep Med. 2022 Mar 1;18(3):751-757. doi: 10.5664/jcsm.9700.
To determine the accuracy of early and newer versions of a nonwearable sleep tracking device relative to polysomnography and actigraphy, under conditions of normal and restricted sleep duration.
Participants were 35 healthy adults (mean age = 18.97; standard deviation = 0.95 years; 77.14% female; 42.86% White). In a controlled sleep laboratory environment, we randomly assigned participants to go to bed at 10:30 pm (normal sleep) or 1:30 am (restricted sleep), setting lights-on at 7:00 am. Sleep was measured using polysomnography, wristband actigraphy (the Philips Respironics Actiwatch Spectrum Plus), self-report, and an early or newer version of a nonwearable device that uses a sensor strip to measure movement, heart rate, and breathing (the Apple, Inc. Beddit). We tested accuracy against polysomnography for total sleep time, sleep efficiency, sleep onset latency, and wake after sleep onset.
The early version of the nonwearable device (Beddit 3.0) displayed poor reliability (intraclass correlation coefficient [ICC] < 0.30). However, the newer nonwearable device (Beddit 3.5) yielded excellent reliability with polysomnography for total sleep time (ICC = 0.998) and sleep efficiency (ICC = 0.98) across normal and restricted sleep conditions. Agreement was also excellent for the notoriously difficult metrics of sleep onset latency (ICC = 0.92) and wake after sleep onset (ICC = 0.92). This nonwearable device significantly outperformed clinical-grade actigraphy (ICC between 0.44 and 0.96) and self-reported sleep measures (ICC < 0.75).
A nonwearable device showed better agreement than actigraphy with polysomnography outcome measures. Future work is needed to test the validity of this device in clinical populations.
Hsiou DA, Gao C, Matlock RC, Scullin MK. Validation of a nonwearable device in healthy adults with normal and short sleep durations. 2022;18(3):751-757.
在正常和限制睡眠时间条件下,确定一种非穿戴式睡眠追踪设备的早期和较新版本相对于多导睡眠图和活动记录仪的准确性。
研究对象为 35 名健康成年人(平均年龄=18.97 岁;标准差=0.95 岁;77.14%为女性;42.86%为白人)。在受控睡眠实验室环境中,我们随机分配参与者在晚上 10:30(正常睡眠时间)或凌晨 1:30(限制睡眠时间)上床睡觉,并设置早上 7:00 开灯。使用多导睡眠图、腕带活动记录仪(飞利浦 Respironics Actiwatch Spectrum Plus)、自我报告以及一种使用传感器条测量运动、心率和呼吸的早期或较新的非穿戴式设备(苹果公司的 Beddit)来测量睡眠。我们针对总睡眠时间、睡眠效率、入睡潜伏期和睡眠后清醒时间,将这些设备的准确性与多导睡眠图进行了测试。
非穿戴式设备的早期版本(Beddit 3.0)显示出较差的可靠性(组内相关系数 [ICC] < 0.30)。然而,较新的非穿戴式设备(Beddit 3.5)在正常和限制睡眠条件下,总睡眠时间(ICC=0.998)和睡眠效率(ICC=0.98)与多导睡眠图的相关性极好。对于入睡潜伏期(ICC=0.92)和睡眠后清醒时间(ICC=0.92)等公认困难的指标,其一致性也非常好。该非穿戴式设备显著优于临床级活动记录仪(ICC 在 0.44 到 0.96 之间)和自我报告的睡眠测量(ICC < 0.75)。
一种非穿戴式设备与多导睡眠图的结果测量相比,与活动记录仪的一致性更好。未来需要进一步的研究来测试该设备在临床人群中的有效性。
Hsiou DA、Gao C、Matlock RC、Scullin MK. 健康成年人正常和短睡眠时间下非穿戴式设备的验证。 2022;18(3):751-757。