I-Corps Team: New Tool for Sleep Apnea Screening

I-Corps 团队：睡眠呼吸暂停筛查新工具

• 批准号: 1759644
• 负责人: Janet Roveda
• 金额: $ 5万
• 依托单位: University of Arizona
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-01-15 至 2019-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1759644&HistoricalAwards=false
• 关键词: Corps; Team; New; Tool; Sleep

The broader impact/commercial potential of this I-Corps project is to decrease health care costs for sleep apnea monitoring and diagnosis. It is estimated that a large proportion of potential sleed apnea patients are undiagnosed. Sleep apnea is a potentially remedial risk factor for hypertension, type II diabetes, stroke, coronary artery disease, and heart failure. Sleep apnea also causes learning disability among children. The proposed sleep apnea screening tool is accurate and easy to use. It can potentially be broadly employed in clinics and homes, and reduce the need for both overnight laboratory-based polysomnograms and home sleep studies.This I-Corps project targets to provide an easy-to-use screening tool for sleep apnea that combines mobile technology, internet of things (IoT) technology, and machine learning technology into one system. The core technology of this screening tool is the state-of-the-art machine learning algorithms with IoT sensors. The solution is expected to deliver a high accuracy and sensitivity sleep apnea screening methodology using deep learning methods. Preliminary results are consistent with six types of apnea-hypopnea index threshold.

这个I-Corps项目的更广泛的影响/商业潜力是降低睡眠呼吸暂停监测和诊断的医疗保健成本。据估计，很大一部分潜在的睡眠呼吸暂停患者未被诊断出来。睡眠呼吸暂停是高血压、II型糖尿病、中风、冠状动脉疾病和心力衰竭的潜在治疗风险因素。睡眠呼吸暂停也会导致儿童学习障碍。所提出的睡眠呼吸暂停筛查工具准确且易于使用。I-Corps项目旨在提供一种易于使用的睡眠呼吸暂停筛查工具，该工具将移动的技术、物联网（IoT）技术和机器学习技术整合到一个系统中。 这个筛选工具的核心技术是最先进的机器学习算法和物联网传感器。该解决方案预计将使用深度学习方法提供高准确性和灵敏度的睡眠呼吸暂停筛查方法。初步结果与六种类型的呼吸暂停低通气指数阈值一致。