Non-obtrusive Gait & Fall Monitoring

步态不突兀

• 批准号: 8053612
• 负责人: MARTIN Carl BARUCH
• 金额: $ 11.4万
• 依托单位: EMPIRICAL TECHNOLOGIES CORPORATION
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-30 至 2012-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8053612
• 关键词: Admission activity; Algorithms; Businesses; Classification; Communities; Computer Interface; Data; Data Set; Detection; Development; Devices; Elderly; Employee Strikes; Event; Evolution; Fingerprint; Floor; Funding; Gait; Goals; Health; Health system; Heel; Home environment; Impaired cognition; Individual; Injury; Intervention; Laboratories; Left; Length; Machine Learning; Marketing; Measures; Medical; Mental Depression; Methodology; Monitor; Muscle Weakness; Noise; Nursing Homes; Pattern; Performance; Pharmaceutical Preparations; Phase; Physical Medicine; Principal Investigator; Process; Recovery; Rehabilitation therapy; Research Project Grants; Resolution; Retirement; Retrospective Studies; Risk; Risk Assessment; Risk Factors; Sensitivity and Specificity; Small Business Innovation Research Grant; Solutions; Suggestion; Surface; System; Techniques; Technology Transfer; Testing; Time; Training; United States National Institutes of Health; Universities; Ursidae Family; Virginia; Walkers; Walking; Wireless Technology; Wood material; base; behavioral/social science; comparative; cost; digital; fall risk; falls; gait examination; human subject; minimally invasive; operation; programs; prototype; response; sensor; tool; transmission process; vibration; volunteer

DESCRIPTION (provided by applicant): Falls among the elderly, one of the most common reasons requiring medical intervention and a contributing factor in 40% of nursing home admissions, are a major health problem. Several studies have identified quantifiable gait markers that appear to distinguish between elderly "fallers" and non-fallers. These studies have relied on data acquired in gait-laboratories. Extending gait assessment capability, and falls detection, into the home could provide valuable before-the-fact information on gait weakness evolution, which in turn could be used to assess the efficiency of counter measures. Current mobile gait analysis techniques are insufficient because they rely on compliance or are too intrusive. The development of a new gait assessment and falls monitor is proposed. The device is passive and obtains gait data from sensing floor vibrations as well as a minimally invasive wireless device, precluding the need to walk on special surfaces or be observed by cameras. This study's principal aim is to validate the device's performance through a comparison with accepted gait assessment techniques at the Physical Medicine and Rehabilitation Gait lab at the University of Virginia Health System PUBLIC HEALTH RELEVANCE: An estimated 20% - 40% of community-dwelling elderly fall at least once a year 2 and this rate increases for nursing home residents. Fall-related injuries are among the most common reasons requiring medical intervention and are a contributing factor in 40% of nursing home admissions. The cost of falls to the national economy is significant. In 1994 the total cost due to falls was estimated to be $20.2 billion. This number is expected to climb to $32.2 billion by 2020. One suggestion for reducing the number of falls has been the creation of a fall risk assessment for institutional residents, an important component of which is gait assessment. In view of the results obtained during the Phase I effort, it appears that the floor sensor system may be able to answer a well defined need for which there is presently no other solution that promises to be as readily implementable and for which the market potential is significant.

描述（由申请人提供）：跌倒是老年人中的一个主要健康问题，是需要医疗干预的最常见原因之一，也是 40% 的疗养院入院的促成因素。几项研究已经确定了可量化的步态标记，这些标记似乎可以区分老年“跌倒者”和非跌倒者。这些研究依赖于步态实验室获得的数据。将步态评估功能和跌倒检测功能扩展到家中可以提供有关步态无力演变的有价值的事前信息，而这些信息反过来又可用于评估应对措施的效率。当前的移动步态分析技术还不够，因为它们依赖于合规性或过于侵入性。建议开发新的步态评估和跌倒监视器。该设备是被动式的，通过感测地板振动来获取步态数据，同时也是一种微创无线设备，无需在特殊表面上行走或通过摄像头观察。本研究的主要目的是通过与弗吉尼亚大学健康系统物理医学和康复步态实验室公认的步态评估技术进行比较来验证设备的性能 公共卫生相关性：据估计，20% - 40% 的社区老年人每年至少跌倒一次2，而疗养院居民的这一比例还会增加。跌倒相关伤害是需要医疗干预的最常见原因之一，也是 40% 的疗养院入院的一个促成因素。跌倒给国民经济造成的损失是巨大的。 1994 年，跌倒造成的总损失估计为 202 亿美元。预计到 2020 年，这一数字将攀升至 322 亿美元。减少跌倒次数的一项建议是为机构居民创建跌倒风险评估，其中一个重要组成部分是步态评估。鉴于第一阶段工作中获得的结果，地板传感器系统似乎能够满足明确的需求，目前没有其他解决方案有望如此容易地实施，并且市场潜力巨大。