Reliability of Sleep Measures from Four Personal Health Monitoring Devices Compared to Research-Based Actigraphy and Polysomnography.
Reliability of Sleep Measures from Four Personal Health Monitoring Devices Compared to Research-Based Actigraphy and Polysomnography.
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DOI：
10.3390/s16050646
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发表时间：
2016-05-05
期刊：
影响因子：
--
通讯作者：
Spencer RM
中科院分区：
文献类型：
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作者：
Mantua J;Gravel N;Spencer RM
多导睡眠图（PSG）是监测睡眠的“黄金标准”。临床、研究和个人使用对PSG的替代品很感兴趣。二十多年来，手腕上佩戴的活动记录仪一直被用于研究睡眠的测量。目前尚不清楚商用设备的睡眠测量是否同样有效。我们试图确定五种可穿戴设备的有效性：Basis健康追踪器、Misfit Shine、Fitbit Flex、Withings Pulse O2和基于研究的活动仪Actiwatch Spectrum。我们使用Wilcoxon sign Rank检验来评估与PSG相关的设备之间的差异，并使用相关分析来评估这种关系的强度。数据丢失最严重的是Fitbit和Misfit。对于所有设备，我们发现总睡眠时间与PSG没有差异，而且有很强的相关性。Withings、Misfit、Fitbit和Basis的睡眠效率与PSG存在差异，而Actiwatch的平均值与PSG没有差异。只有来自Actiwatch的睡眠效率平均值（睡眠时间/卧床时间）与PSG相关，但这种相关性很弱。所有设备的浅睡眠时间与PSG （nREM1 + nREM2）不同。基础的深度睡眠时间测量与PSG （SWS + REM）没有差异。这些结果揭示了目前由个人健康监测设备产生的睡眠估计的优势和局限性，并指出了未来发展的需要。
Polysomnography (PSG) is the “gold standard” for monitoring sleep. Alternatives to PSG are of interest for clinical, research, and personal use. Wrist-worn actigraph devices have been utilized in research settings for measures of sleep for over two decades. Whether sleep measures from commercially available devices are similarly valid is unknown. We sought to determine the validity of five wearable devices: Basis Health Tracker, Misfit Shine, Fitbit Flex, Withings Pulse O2, and a research-based actigraph, Actiwatch Spectrum. We used Wilcoxon Signed Rank tests to assess differences between devices relative to PSG and correlational analysis to assess the strength of the relationship. Data loss was greatest for Fitbit and Misfit. For all devices, we found no difference and strong correlation of total sleep time with PSG. Sleep efficiency differed from PSG for Withings, Misfit, Fitbit, and Basis, while Actiwatch mean values did not differ from that of PSG. Only mean values of sleep efficiency (time asleep/time in bed) from Actiwatch correlated with PSG, yet this correlation was weak. Light sleep time differed from PSG (nREM1 + nREM2) for all devices. Measures of Deep sleep time did not differ from PSG (SWS + REM) for Basis. These results reveal the current strengths and limitations in sleep estimates produced by personal health monitoring devices and point to a need for future development.