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Technology to Automatically Detect Falls and Assess Fall Risk in Senior Housing

自动检测跌倒并评估老年住宅跌倒风险的技术

基本信息

批准号：
8281330
负责人：
MARILYN J RANTZ
金额：
$ 49.87万
依托单位：
UNIVERSITY OF MISSOURI-COLUMBIA
依托单位国家：
美国
项目类别：
财政年份：
2009
资助国家：
美国
起止时间：
2009-09-30 至 2014-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8281330
关键词：
Technology Automatically Detect Falls Assess

项目摘要

Title: Automatic Sensing System to Detect Falls and Fall-Risk in Elders. Project Summary and Abstract One in every three people age 65 or older falls each year, making falls the most common cause of injuries and hospitalizations for trauma in older adults and the leading cause of death due to injury (CDC, 2006). Researchers have studied falls, fall risk assessment, and interventions to prevent falls. However, to date, their methods require that research staff or clinicians complete multi-factorial assessments of fall risk and that research subjects maintain logs of falls, wear devices that measure changes in positions that could indicate a fall or activate an alarm that they need assistance. Building on our current work, we propose to validate and deploy an innovative technological approach that automatically detects when falls have occurred or when the risk of falls is increasing. Subjects will not have to press buttons, pull cords or wear any devices. This new "passive" approach using sensors in the home could revolutionize detecting and preventing falls as well as measuring fall risk. By detecting falls or increasing fall risk early, this new technology can act as a trigger for elders, family members, or health care providers to improve physical function or better manage illnesses that are precipitating falls. The products of this study can improve access to fall risk measures by deploying the new sensor system in any private house or apartment as well as senior centers, churches, or retail stores. In such settings, persons could go to an accessible area to perform the guided motions to be measured by the sensor network developed in this application. In just a few minutes, a person would have a reliable fall risk indicator to alert increasing fall risk. An automatic sensing system to detect falls has major potential in senior housing, long-term care settings, private community housing as well in acute care settings where falls are a major risk. After laboratory validation using 567 falls performed by trained theater stunt actors, we will deploy the prototype sensing system for two years of data collection in ten apartments of elders in an independent living setting to complete validation and field testing (again using 960 falls performed by stunt actors). This application integrates the specialized talents and perspectives of not only health care scientific disciplines (nursing, physical therapy, social work, medicine) but also electrical and computer engineering, computer science, and informatics. This application will be of interest to AHRQ and likely the Innovations and Emerging Areas Portfolio that "will foster and nurture ideas and projects that have potential to lead to highly innovative solutions that may lead to significant advances in healthcare practice..."

标题：自动传感系统，以检测老年人的跌倒和跌倒风险。项目摘要和摘要每年每三个65岁或以上的人中就有一个人摔倒，这使跌倒成为受伤的最常见原因老年人因创伤住院和因受伤死亡的主要原因(CDC，2006年)。研究人员研究了跌倒、跌倒风险评估和预防跌倒的干预措施。然而，到目前为止，他们的方法要求研究人员或临床医生完成跌倒风险的多因素评估，并且研究对象维护跌倒记录，佩戴测量位置变化的设备，这可能表明坠落或启动警报，表示他们需要帮助。在我们目前工作的基础上，我们建议验证和部署创新的技术方法，自动检测何时发生跌倒或何时跌倒的风险正在增加。受试者将不需要按下按钮、拉线或佩戴任何设备。这是一项新的在家中使用传感器的“被动”方法可以彻底改变检测和预防跌倒的方法，以及衡量跌倒的风险。通过及早检测跌倒或增加跌倒风险，这项新技术可以作为触发因素老年人、家庭成员或医疗保健提供者改善身体功能或更好地管理疾病都在倾泻而下。这项研究的产品可以通过部署任何私人住宅或公寓以及老年中心、教堂或零售店中的新传感器系统。在……里面这样的设置，人们可以去一个可接近的区域进行由传感器网络就是在这种应用中发展起来的。在短短几分钟内，一个人就会有可靠的跌倒风险警告不断增加的跌倒风险的指标。自动感应系统检测跌倒在老年人中有很大潜力住房、长期护理环境、私人社区住房以及在急性护理环境中跌倒是一种重大风险。在实验室验证了由训练有素的剧院特技演员表演的567个瀑布后，我们将部署该原型传感系统在十套独立的老年人公寓中进行了两年的数据采集现场布景以完成验证和现场测试(再次使用特技演员表演的960次跌倒)。这应用集成了不仅仅是医疗保健科学学科的专业人才和视角 (护理、理疗、社会工作、医学)，还有电气和计算机工程、计算机科学和信息学。这一应用将会引起AHRQ的兴趣，也可能会引起创新和新兴将培育和培育有潜力导致高度创新的想法和项目的领域组合可能导致医疗保健实践取得重大进展的解决方案……