In-home monitoring system for assessing gait using wall-mounted RF transceivers

使用壁挂式射频收发器评估步态的家用监控系统

• 批准号: 8904402
• 负责人: Peter G Jacobs
• 金额: $ 22.5万
• 依托单位: EMBEDRF, LLC
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-08-01 至 2017-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8904402
• 关键词: Address; Affect; Age; Algorithms; Assisted Living Facilities; Caregivers; Caring; Clinic; Clinical; Clinical Trials; Cognitive; Couples; Data; Development; Discrimination; Elderly; Engineering; Evaluation; Family member; Feasibility Studies; Friends; Gait; Goals; Head; Health; Health Status; Height; Home environment; Homes for the Aged; Impairment; Independent Living; Individual; Laboratories; Leg; Length; Life; Link; Location; Machine Learning; Maps; Measurement; Measures; Methods; Monitor; Movement; Neurologic; Patients; Performance; Persons; Pharmaceutical Preparations; Positioning Attribute; Procedures; Process; Protocols documentation; Quality of life; Recruitment Activity; Research; Shapes; Signal Transduction; Speed; System; Techniques; Technology; Testing; Time; Validation; Visit; Walking; Width; Wireless Technology; Work; base; cohort; cost; design; improved; monitoring device; novel; particle; physical conditioning; prototype; public health relevance; radio frequency; sensor; signal processing

 DESCRIPTION (provided by applicant): The goal of this project is to develop and evaluate a new system called GaitRF that can measure walking speed and other detailed gait parameters passively within the home. The ability to move is a critical function that underlies the quality of life for elders as well as those suffering from neurologic or physical ailments. Changes in aspects of gait such as walking speed, stride length, stride imbalance, etc. have been shown to correlate with changes in physical and cognitive health. Gait is typically measured periodically within a clinical setting. In-home monitoring offers the advantage of continuous and ongoing measurements providing significantly more information about changes in a patient's health under real life conditions. Ongoing accurate estimation of gait within the home can help to guide caregivers about the need for transitioning older adults to higher levels of care. Accurate in-home gait monitoring also has the potential to encourage older adults to maintain independence later into their lives by enabling family members and friends to monitor health status remotely. The proposed system makes use of novel wireless technology being developed at EmbedRF. An array of tiny transceivers are positioned in either a hallway or doorframe and configured to wirelessly send radio frequency (RF) signals between each other. As a person walks past the transceivers, their body disrupts the RF signal strength allowing for the estimation of gait metric without the need for the person to wear any monitoring device. Preliminary results using only 2 or 4 transceivers have already demonstrated the ability to accurately estimate walking speed. Preliminary results also show the unique ability to discriminate between individuals for use in a multi-resident home or to exclude data when a caregiver or friend visits. Specific aims in this proposal will 1) further develop prototype systems for walking speed estimation using transceiver pairs, 2) research and develop use of an array of sensors placed at base-board height in order to extract more detailed gait metrics; a second transceiver pair will be placed at approximate head height to provide multi-person discrimination capability, and 3) perform preliminary in-home evaluations of the GaitRF system. Advanced machine learning and tracking algorithms will be utilized to process the RF signals to extract gait metrics. We will evaluate the performance of GaitRF in both a laboratory setting and within single-resident and multi- resident homes of seniors. If successful, this new system has the advantage of being low-cost, unobtrusive, and easy to install, while still providing accurate and detailed gait metrics. The system can be used as a stand-alone gait monitor or incorporated into more general health monitoring systems. Application of the technology will support independent living and may also be used in clinical trials of drugs or procedures that affect mobility.

 描述（由申请人提供）：该项目的目标是开发和评估一种名为 GaitRF 的新系统，该系统可以在家中被动测量步行速度和其他详细步态参数。移动能力是衡量步行质量的关键功能。 老年人以及患有神经或身体疾病的人的生活 步态方面的变化（例如步行速度、步幅、步幅不平衡等）已被证明与身体和认知健康的变化相关。在临床环境中，家庭监测具有连续和持续测量的优势，可以提供有关患者在现实生活条件下健康状况变化的更多信息，可以帮助指导护理人员了解过渡的需要。老年人准确的家庭步态监测还可以让家人和朋友远程监测健康状况，从而鼓励老年人在以后的生活中保持独立。该系统利用了正在开发的新型无线技术。 EmbedRF 的一系列微型收发器被放置在走廊或门框上，并配置为在彼此之间无线发送射频 (RF) 信号，当一个人走过收发器时，他们的身体会干扰 RF 信号强度，从而进行估计。的仅使用 2 或 4 个收发器即可测量步态指标，初步结果还显示了在多用途中区分个体的独特能力。该提案的具体目标是：1）进一步开发使用收发器对进行步行速度估计的原型系统，2）研究和开发放置在基板上的传感器阵列的使用。高度，以提取更详细的步态指标；第二对收发器将放置在近似头部高度的位置，以提供多人辨别能力，以及 3) 对 GaitRF 系统进行初步的家庭评估。用于处理射频信号以提取步态指标。 如果成功的话，这个新系统的优点是成本低、不引人注目且易于安装，同时仍然提供准确和详细的步态。该系统可以用作独立的步态监测器，也可以合并到更通用的健康监测系统中，该技术的应用将支持独立生活，也可用于影响活动能力的药物或程序的临床试验。