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首页> 外文期刊>Journal of clinical sleep medicine: JCSM : official publication of the American Academy of Sleep Medicine >Sleep Parameter Assessment Accuracy of a Consumer Home Sleep Monitoring Ballistocardiograph Beddit Sleep Tracker: A Validation Study
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Sleep Parameter Assessment Accuracy of a Consumer Home Sleep Monitoring Ballistocardiograph Beddit Sleep Tracker: A Validation Study

机译：消费者家用睡眠监测心动描记器Beddit睡眠追踪器的睡眠参数评估准确性：一项验证研究

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Study Objectives:Growing interest in monitoring sleep and well-being has created a market for consumer home sleep monitoring devices. Additionally, sleep disorder diagnostics, and sleep and dream research would benefit from reliable and valid home sleep monitoring devices. Yet, majority of currently available home sleep monitoring devices lack validation. In this study, the sleep parameter assessment accuracy of Beddit Sleep Tracker (BST), an unobtrusive and non-wearable sleep monitoring device based on ballistocardiography, was evaluated by comparing it with polysomnography (PSG) measures. We measured total sleep time (TST), sleep onset latency (SOL), wake after sleep onset (WASO), and sleep efficiency (SE). Additionally, we examined whether BST can differentiate sleep stages.Methods:We performed sleep studies simultaneously with PSG and BST in ten healthy young adults (5 female/5 male) during two non-consecutive nights in a sleep laboratory.Results:BST was able to distinguish SOL with some accuracy. However, it underestimated WASO and thus overestimated TST and SE. Also, it failed to discriminate between non-rapid eye movement sleep stages and did not detect the rapid eye movement sleep stage.Conclusions:These findings indicate that BST is not a valid device to monitor sleep. Consumers should be careful in interpreting the conclusions on sleep quality and efficiency provided by the device.
机译：研究目标：对监视睡眠和健康的兴趣日益浓厚，为消费者家用睡眠监视设备创造了市场。此外，睡眠障碍诊断，睡眠和梦境研究将受益于可靠且有效的家庭睡眠监测设备。然而，当前可用的大多数家庭睡眠监测设备都缺乏验证。在这项研究中，Beddit睡眠追踪器（BST）是基于心动描记法的一种非侵入性且不可佩戴的睡眠监测设备，其睡眠参数评估准确性与多导睡眠图（PSG）措施进行了评估。我们测量了总睡眠时间（TST），睡眠发作潜伏期（SOL），睡眠发作后唤醒（WASO）和睡眠效率（SE）。此外，我们还检查了BST是否可以区分睡眠阶段。方法：我们在睡眠实验室的两个非连续夜晚中，对10名健康的年轻人（5名女性/ 5名男性）与PSG和BST同时进行了睡眠研究。可以区分SOL。但是，它低估了WASO，因此高估了TST和SE。同样，它不能区分非快速眼动睡眠阶段，也没有检测到快速眼动睡眠阶段。结论：这些发现表明，BST不是监测睡眠的有效装置。消费者在解释该设备提供的有关睡眠质量和效率的结论时应格外小心。

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