Feasibility Study of a Consumer Multi-Sensory Wristband to Monitor Sleep Disorder

Sang-Ho Lee, Sanghun Yun, Jin-Woong An, Dong-Ha Lee
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Abstract

The new generation of consumer wristbands are now able to classify sleep stages based on multiple sensing data. Several studies have validated the accuracy of one of the latest models, that is, Fitbit Charge 2, in measuring polysomnographic(PSG) parameters. Nevertheless, its feasibility in measuring sleep disorder remains unknown. This study aimed to evaluate the potential of Fitbit Charge 2 as a means of monitoring sleep disorders for workers. We recruited participants without mental and medical diseases from 3 sites consisting of department, hospital and research institute. Sleep data were obtained from 3-month night recording at each worker's home in 95 adults (22-64 years; 68 women; over 20 participants from each site). Our results indicate that there are some differences in sleep patterns in different occupations.
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消费者多感官腕带监测睡眠障碍的可行性研究
新一代的消费者腕带现在能够根据多个传感数据对睡眠阶段进行分类。几项研究已经证实了Fitbit Charge 2这款最新产品在测量多导睡眠图(PSG)参数方面的准确性。然而,它在测量睡眠障碍方面的可行性仍然未知。这项研究旨在评估Fitbit Charge 2作为监测工人睡眠障碍的一种手段的潜力。我们从科室、医院和研究所3个地点招募无精神疾病和医学疾病的参与者。95名成年人(22-64岁;68名女性;每个站点超过20名参与者)。我们的研究结果表明,不同职业的人在睡眠模式上存在一些差异。
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