Noninvasive Home Monitor for Sleep Apnea Testing

描述（由申请人提供）：阻塞性睡眠呼吸暂停影响约3-4%的人口，包括儿童。有相当多的相关发病率和死亡率。特别是与高血压和心脏病密切相关。白天嗜睡导致交通事故增加和工人生产力下降。这种情况的关键诊断测试是夜间睡眠测试或夜间多导睡眠图。尽管这种医学状况很严重，但大约80%的患者未被诊断出来。这部分是由于标准多导睡眠图的费用和缺乏可用性。这导致了对便携式测试系统的开发的极大兴趣，该便携式测试系统在家中为阻塞性睡眠呼吸暂停提供经济、容易获得和准确的测试。我们提出了一种单一类型的传感器为基础的监测系统，将提供一个可靠的和简单的使用单位，应允许经济和有效的家庭测试。虽然我们建议使用一个单一的传感器，以允许一个简单的使用系统，我们将数据分析方法，将允许恢复四个独立的指标预测阻塞性睡眠呼吸暂停。这将允许比当前便携式系统更精确的测试系统。由于所提出的系统将纠正便携式睡眠测试仪器的主要问题（实用，机械和提供诊断准确性的多个指标），我们预计，该项目将导致一个成功的商业产品。该项目将导致开发一种简单易用的家庭诊断睡眠呼吸暂停的技术。这一点很重要，因为睡眠呼吸暂停是一种常见的严重疾病，影响3-4%的人口，并显着有助于心脏病和中风。睡眠呼吸暂停也牵涉到与工作有关的问题和车祸的巨大成本。尽管如此，近90-95%的睡眠呼吸暂停患者没有被诊断出来，部分原因是提供实验室睡眠研究的费用和困难。

DESCRIPTION (provided by applicant): Obstructive sleep apnea affects about 3-4% of the population including children. There is considerable associated morbidity and mortality. In particular there is a strong association with hypertension and cardiac disease. Daytime somnolence leads to increased traffic accidents and decreased worker production. The key diagnostic testing for this condition is overnight sleep testing or nocturnal polysomnography. Despite the seriousness of this medical condition about 80% of those afflicted are undiagnosed. This is due, in part, to the expense and lack of availability of standard polysomnography. This has lead to a great deal of interest in the development of portable testing systems that provide economical, readily available and accurate testing for obstructive sleep apnea at home. We propose a single type of sensor based monitoring system that would provide a reliable and simple to use unit that should allow for economical and efficient home testing. Although we propose the use of a single sensor to allow for a simple to use system, we incorporate data analysis methods that will allow for the recovery of four independent metrics for prediction of obstructive sleep apnea. This should allow for a more accurate testing system than current portable systems. Since the proposed system will correct the major problems with portable sleep testing instruments (practical, mechanical and provide multiple metrics for diagnostic accuracy), we anticipate that this project would result in a successful commercial product. This project will result the development of a simple to use, at-home technology for the diagnosis of sleep apnea. This is important since sleep apnea is a common and serious disorder afflicting 3-4% of the population and contributes significantly to heart disease and stroke. Sleep apnea also is implicated in a tremendous cost from work related problems and car accidents. Despite this nearly 90-95% of sleep apnea patients are not diagnosed, in part, due to the expense and difficulty of providing laboratory sleep studies.