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

PA22176，SBIR 第一阶段，用于识别跌倒风险的新型自动筛查方法

• 批准号: 10697534
• 负责人: Sara Seifert
• 金额: $ 34.31万
• 依托单位: MINNESOTA HEALTHSOLUTIONS CORPORATION
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-30 至 2024-09-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10697534
• 关键词: PA22176; SBIR; Phase; Novel; Automated

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.

项目摘要/摘要 拟议的项目与开发一种新型的被动自动筛选方法来识别 老年人的风险下降。跌倒是65岁成年人的致命和非致命伤害的主要原因 老年人较大的和与跌倒有关的死亡风险正在增加。每年，28.7％的老年人属于 美国，髋部骨折30万，2020年的医疗费用超过700亿美元。 需要工具来确定增加跌倒风险的变化。这些工具最好是，不引人注目，自动化， 完全是被动的，可在家庭环境中部署。最近的研究描述了一种新颖的技术 对识别神经病理学有用的眼动追踪。这种方法对于廉价的部署是可行的 在家庭中，使用娱乐平台作为被动执行的基础工具 考试。该项目的目的是使用这种方法开发和评估原型系统。一个 将在人类试验中指定，设计，测试和评估原型系统。