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

机译:大规模筛查睡眠呼吸暂停的可穿戴设备的设计和初步评估

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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:在7-18百万之间,美国人患有睡眠呼吸障碍(SDB),包括那些患有阻塞性睡眠呼吸暂停(OSA)的人。尽管OSA如此高的患病率和负担,但是对于广泛的筛查来说,现有的诊断技术仍然不切实际。在这项研究中,我们介绍了一种用于OSA筛查的新模型,并描述了一种可穿戴式睡眠面罩(称为ARAM),该面罩可有效跟踪穿戴者的睡眠方式。使用选择的传感器可以实现这种监视,这些传感器可以以易于自我测量的形式进行筛选和监视。根据睡眠医生和技术人员的反馈,我们采用了最有价值的OSA诊断传感器,同时保持了患者的易用性和舒适性。我们讨论了初步现场试验的结果,在该试验中,我们同时佩戴了睡眠面罩和市售设备,以评估设备的耐用性。基于这些结果,我们讨论了筛选系统设计的下一步,包括比现有系统提供更有效筛选的分析技术。

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