PA22176, SBIR Phase I, Novel Automated Screening Approach for Identifying Fall Risk

项目总结/摘要 拟议的项目涉及开发一种新型的被动自动筛选方法， 老年人的跌倒风险。福尔斯是65岁以上成年人致命和非致命伤害的主要原因， 老年人中与跌倒有关的死亡风险正在增加。每年，28.7%的老年人在 美国，导致30万髋关节骨折，2020年医疗费用超过700亿美元。改进 需要工具来识别增加跌倒风险的变化。这些工具优选地是不引人注目的、自动化的， 在家庭环境中完全被动和可部署。最近的研究描述了一种新的技术， 眼动追踪，这对识别神经病变很有用。这种方法对于廉价部署是可行的 在家庭中使用娱乐平台作为被动地进行 考试本项目的目标是使用这种方法开发和评估一个原型系统。一 将在人体试验中指定、设计、测试和评估原型系统。

Project Summary/Abstract The proposed project relates to the development of a novel passive automated screening approach for identifying fall risk in the elderly. Falls are the leading cause of both fatal and non-fatal injuries among adults age 65 and older and the risk of fall-related death among older adults is increasing. Annually, 28.7% of older adults fall in the United States, resulting in 300,000 hip fractures and over $70 billion dollars in medical costs in 2020. Improved tools are needed to identify changes that increase fall risk. These tools are preferably, unobtrusive, automated, entirely passive and deployable in the home environment. Recent research has described a novel technique for eye tracking that is useful for identifying neuropathologies. This approach is feasible for inexpensive deployment in the home using entertainment platforms as the foundational instrument for passively conducting the examination. The objective of this project is to develop and evaluate a prototype system using this approach. A prototype system will be specified, designed, tested, and evaluated in a human trial.