Non-obtrusive Gait & Fall Monitoring

步态不突兀

基本信息

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
项目类别：
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

项目摘要

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）：属于老年人，这是需要医疗干预的最常见原因之一，以及40％的疗养院入院因素是一个主要的健康问题。几项研究已经确定了可量化的步态标记，这些标志物似乎区分了老年人的“堕落者”和非男人。这些研究依赖于步态遗产中获得的数据。将步态评估能力和跌落检测扩展到房屋中，可以提供有关步态弱点演变的有价值的事前信息，而步态无力演变又可以用来评估反措施的效率。当前的移动步态分析技术不足，因为它们依赖合规性或太侵入性。提出了新的步态评估和跌倒监测器的开发。该设备是被动的，并从传感地板振动以及微创无线设备中获取步态数据，从而排除了在特殊表面上行走或通过摄像机观察到的需求。这项研究的主要目的是通过与弗吉尼亚大学卫生系统的物理医学和康复步态实验室的接受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：估计有20％ - 40％的社区居民老年人至少每年2次，养老院居民的速度增加。与跌倒有关的伤害是需要医疗干预的最常见原因之一，并且是40％的疗养院入院的因素。国民经济跌倒的成本很大。 1994年，由于跌倒造成的总成本估计为202亿美元。预计到2020年，这一数字预计将攀升至322亿美元。减少跌倒数量的一个建议是为机构居民进行了秋季风险评估，其中重要的组成部分是步态评估。鉴于在第一阶段努力中获得的结果，看来地板传感器系统可能能够回答明确的需求，目前没有其他解决方案承诺可以容易实施，并且市场潜力是重要的。