Floor Monitor for Gait Assessment and Falls Detection

用于步态评估和跌倒检测的地板监视器

• 批准号: 6742741
• 负责人: MARTIN Carl BARUCH
• 金额: $ 10.08万
• 依托单位: EMPIRICAL TECHNOLOGIES CORPORATION
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-03-15 至 2005-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6742741
• 关键词: clinical research; gait; human middle age (35-64); human subject; monitoring device; technology /technique development

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, can transmit acquired data wirelessly, and obtains gait data from sensing floor vibrations, precluding the need to wear a device, walk on special surfaces or be observed by cameras. Its ability to detect different gait modes with high fidelity as well as differentiate between falling objects and simulated falls has been demonstrated. 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.

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侵入性太强。 建议开发新的步态评估和跌倒监视器。该设备是被动式的，可以无线传输获取的数据，并通过感测地板振动来获取步态数据，无需佩戴设备、在特殊表面上行走或通过摄像头观察。它能够以高保真度检测不同的步态模式，并区分坠落物体和模拟坠落。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。