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Design and preliminary evaluation of a wearable device for mass-screening of sleep apnea

机译:睡眠呼吸暂停筛选可穿戴装置的设计与初步评价

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Between 7-18 million Americans suffer from sleep disordered breathing (SDB), including those who suffer from obstructive sleep apnea (OSA). Despite this high prevalence and burden of OSA, existing diagnostic techniques remain impractical for widespread screening. In this study, we introduce a new model for OSA screening and describe an at-home wearable sleep mask (named ARAM) that can robustly track the wearers' sleep patterns. This monitoring is achieved using select sensors that enable screening and monitoring in a form-factor that can be easily self-instrumented. Based on feedback from sleep doctors and technicians, we incorporate the most valuable sensors for OSA diagnosis, while maintaining ease-of-use and comfort for the patient. We discuss the results of preliminary field trials, where both our sleep mask and a commercially available device were worn simultaneously to evaluate our device's robustness. Based on these results, we discuss next steps for the design of the screening system, including analyses techniques that would provide more efficient screening than existing systems.
机译:7-18万岁的美国人患有睡眠无序呼吸(SDB),包括那些患有阻塞性睡眠呼吸暂停(OSA)的人。尽管OSA的普遍性高,但是,对于广泛的筛查,现有的诊断技术仍然是不切实际的。在这项研究中,我们向OSA筛选介绍了一个新的模型,并描述了一个家庭穿戴睡眠面具(命名Aram),可以鲁布布地跟踪佩戴者的睡眠模式。使用选择传感器实现该监控,该选定传感器能够以容易自动仪器的形式因素筛选和监控。根据睡眠医生和技术人员的反馈,我们将最有价值的传感器纳入OSA诊断,同时保持患者的易用性和舒适性。我们讨论了初步现场试验的结果,我们的睡眠面罩和市售的设备同时佩戴,以评估我们的设备的鲁棒性。基于这些结果,我们讨论了筛选系统设计的下一步,包括分析技术,这些技术可以提供比现有系统更有效的筛选。

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