EAGER: An In-Home Health Alert System with Remote Care Coordination

EAGER：具有远程护理协调功能的家庭健康警报系统

• 批准号: 1237970
• 负责人: Marjorie Skubic
• 金额: $ 29.97万
• 依托单位: University of Missouri-Columbia
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-07-01 至 2014-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1237970&HistoricalAwards=false
• 关键词: EAGER; Home; Health; Alert; System

The unobtrusive monitoring of individuals with in-home sensors offers enormous potential for detecting early health problems-before they become big problems--so timely interventions can be provided to improve the health trajectory. The result is continued high functional ability, independence, and better health outcomes. Early detection of health changes is the key to this approach. This project leverages ongoing work at the University of Missouri in Health Alert Systems with sensor technology. A scaled-up version of the Health Alert System is being tested in senior housing in Cedar Falls, Iowa, using in-home sensors and remote video conferencing for nurse care coordination. Fiber networking provides the bandwidth and latency essential for the project. The Health Alert System includes motion sensors for activity monitoring and Kinect depth images for gait analysis, and integrates a new hydraulic bed sensor that captures quantitative pulse, respiration, and restlessness. Pattern recognition algorithms are used to look for changes in the sensor data patterns and generate health alerts to clinicians, who provide further diagnosis and determine appropriate interventions. The usability and effectiveness of the remote Health Alert System will be evaluated for managing chronic health conditions. Testing the Health Alert System at a remote site from the healthcare providers will provide important information about how the approach scales up into other settings with high speed video conferencing and transfer of sensor data. This will provide an important next step towards moving the approach into independent housing where seniors want to be and offers potential healthcare cost savings.

使用家庭传感器对个人进行不显眼的监测，为在早期发现健康问题提供了巨大的潜力-在它们成为大问题之前-因此可以提供及时的干预措施来改善健康轨迹。结果是持续的高功能能力，独立性和更好的健康结果。早期发现健康变化是这一方法的关键。该项目利用了密苏里州大学正在进行的健康警报系统与传感器技术的工作。一个扩大版的健康警报系统正在爱荷华州雪松福尔斯的老年人住宅中进行测试，使用家庭传感器和远程视频会议进行护士护理协调。光纤网络提供了项目所必需的带宽和延迟。健康警报系统包括用于活动监测的运动传感器和用于步态分析的Kinect深度图像，并集成了一个新的液压床传感器，可以捕获定量脉搏，呼吸和不安。模式识别算法用于查找传感器数据模式的变化，并向临床医生生成健康警报，临床医生提供进一步诊断并确定适当的干预措施。将评估远程健康警报系统在管理慢性健康状况方面的可用性和有效性。在医疗保健提供者的远程站点测试健康警报系统将提供有关该方法如何通过高速视频会议和传感器数据传输扩展到其他设置的重要信息。这将为将这种方法转移到老年人想要的独立住房中提供重要的下一步，并提供潜在的医疗保健成本节约。