Screening for Sleep Disordered Breathing with Minimally Obtrusive Sensors

总结 睡眠呼吸障碍（SDB）被认为是一种广泛存在的，诊断不足的疾病， 有害的健康问题，对社会造成很高的代价。目前诊断SDB的金标准是时间- 消耗的、昂贵的和强迫性的（需要许多连接的电线）睡眠研究或多导睡眠图（PSG）。 所提出的研究的直接目标是开发和评估硬件设计和一套 的算法，用于自动检测阻塞性，中枢性，或混合性呼吸暂停和呼吸不足从声学， 外周血氧饱和度（SpO 2）和脉率数据，使用环境麦克风和无线脉冲 血氧计。长期目标是创造一种低成本、易于操作、最小干扰的家用设备， 可用于在患者家中筛查SDB。 我们的具体目标是：（1）通过选择最小干扰的传感器硬件开发筛选系统， 扩展最先进的算法，用于从声学、SpO 2和脉搏率数据自动检测SDB; (2)使用所提出的系统在睡眠实验室和家中从代表性人群收集患者数据; (3)通过比较拟议系统在收集到的 对照标准PSG衍生临床结果的数据;以及（4）测量家庭筛查设备的可用性 通过要求参与家庭数据收集的受试者完成调查， 就拟议系统的设置和运作的各个方面提出建议。

Summary Sleep disordered breathing (SDB) is believed to be a widespread, under-diagnosed condition associated with detrimental health problems, at a high cost to society. The current gold standard for diagnosis of SDB is a time- consuming, expensive, and obtrusive (requiring many attached wires) sleep study, or polysomnography (PSG). The immediate objective of the proposed research is to develop and evaluate a hardware design and a set of algorithms for automatically detecting obstructive, central, or mixed apneas and hypopneas from acoustic, peripheral oxygen saturation (SpO2), and pulse rate data, using an ambient microphone and a wireless pulse oximeter. The long-term goal is to create a low-cost, easy-to-operate, minimally obtrusive, at-home device that can be used to screen for SDB in patients' homes. Our specific aims are to: (1) develop a screening system by selecting minimally obtrusive sensor hardware and extending state-of-the art algorithms for automatically detecting SDB from acoustic, SpO2, and pulse rate data; (2) collect patient data in the sleep lab and at home from representative populations using the proposed system; (3) determine the screening accuracy by comparing the performance of the proposed system on the collected data against standard PSG-derived clinical results; and (4) measure the usability of an at-home screening device by the target population, by asking subjects who participated in the at-home data collection to complete a survey on various aspects of the setup and operation of the proposed system.