Unobtrusive measurement of sleep disordered breathing in the home

在家中对睡眠呼吸障碍进行不显眼的测量

• 批准号: 8629561
• 负责人: Chad Cameron Hagen
• 金额: $ 38.5万
• 依托单位: OREGON HEALTH & SCIENCE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-07-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8629561
• 关键词: Absenteeism; Accidents; Address; Adherence; Alcohols; Algorithms; American; Analgesics; Apnea; Beds; Blood; Breathing; Cardiac; Cell Count; Cells; Chronic; Clinical; Collection; Data; Diagnosis; Direct Costs; Disease; Effectiveness; Environment; Facilities and Administrative Costs; Fatigue; Frequencies; Goals; Gold; Health; Heart Rate; Home environment; Hypersensitivity; Individual; Institute of Medicine (U.S.); Investigation; Location; Measurement; Measures; Monitor; Movement; Neck; Obstruction; Obstructive Sleep Apnea; Oxygen; Patients; Pattern; Persons; Polysomnography; Positioning Attribute; Prevalence; Public Health; Research; Respiration; Series; Severities; Signal Transduction; Site; Sleep; Sleep Apnea Syndromes; Sleep Deprivation; Sleep Disorders; Source; Supine Position; System; Techniques; Technology; Testing; Upper Respiratory Infections; Work; blind; body position; diagnosis standard; hypnotic; improved; indexing; men; middle age; research study; screening; sensor; sleep position; tool

Project Summary The long-term goal of our project is to develop tools that can be used to diagnose and assess sleep disorders unobtrusively in a patient's home. Sleep disorders and sleep deprivation are significant public health problems. The U.S. Institute of Medicine estimates that 70 million Americans suffer from chronic, treatable sleep disorders. One of the most common and problematic sleep disorders is obstructive sleep apnea (OSA), where a partial collapse or obstruction of the pharyngeal airway results in intermittent reduction in blood oxygen saturation and disruption of sleep. The traditional gold standard for diagnosing and monitoring these disorders is overnight polysomnography (PSG). Unfortunately PSG is an expensive, obtrusive, and inconvenient test in which multiple sensors are attached to patients who are already struggling with sleep. A simpler tool used to screen for sleep disordered breathing (SDB) in a patient's home over multiple nights would help clinicians decide if PSG is indicated, providing a much needed and currently unavailable window into a patient's apnea status over multiple nights in their natural sleep environment. In this study, we will continue our efforts to understand how load cells could be used for this purpose. We have used load cells under the supports of the bed to quantify the frequency and severity of apneas and hypopneas. We now seek to understand how this system could be simplified and used effectively in a home setting. Our Specific Aims are: (1) to develop improved algorithms to detect lying position on the bed during load cell collection~ (2) develop algorithms to separate the breathing and movement signals from two individuals sharing a bed~ and (3) to determine the most effective minimal configuration of load cells (number, location, and loading) that can be used to accurately measure the severity of sleep apnea.

项目摘要 我们项目的长期目标是开发可用于诊断和评估睡眠的工具 在患者家中毫不显眼地疾病。睡眠障碍和睡眠剥夺是重要的公开 健康问题。美国医学研究所估计，有7000万美国人患有慢性 可治疗的睡眠障碍。最常见和有问题的睡眠障碍之一是阻塞性 睡眠呼吸暂停（OSA），部分塌陷或咽气道的阻塞导致 间歇性减少血氧饱和度和睡眠破坏。传统的黄金标准 为了诊断和监测这些疾病，是一夜之间的多摄影术（PSG）。 很遗憾 PSG是一项昂贵，令人震惊且不便的测试，其中多个传感器附着在 已经在睡眠中挣扎的患者。用于筛选睡眠失调的更简单的工具 在病人的家中呼吸（SDB）多个晚上将有助于临床医生决定PSG是否是 指示，为患者的呼吸暂停状态提供了一个急需且目前不可用的窗口 在自然睡眠环境中多晚。在这项研究中，我们将继续努力 了解如何将负载单元用于此目的。我们在支撑下使用了负载电池 床的量子，以量化呼吸暂停的频率和严重程度。我们现在寻求 了解如何在家庭环境中简化和有效使用该系统。我们的具体 目的是：（1）开发改进的算法，以检测负载电池期间床上的位置 收集〜（2）开发算法以将呼吸和运动信号与两个人分开 共享床〜和（3）以确定负载单元最小的最小配置（数字， 位置和负载）可用于准确测量睡眠呼吸暂停的严重程度。