Position tracking and mobility assessment system for indoor monitoring of elders

用于老年人室内监控的位置跟踪和移动评估系统

• 批准号: 8523498
• 负责人: Eric A Wan
• 金额: $ 37.2万
• 依托单位: EMBEDRF, LLC
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2015-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8523498
• 关键词: Activities of Daily Living; Aging; Algorithms; Assisted Living Facilities; Calibration; Caring; Cellular Phone; Characteristics; Classification; Clinical Research; Clinical Trials; Cognitive; Collection; Communities; Computer software; Data; Data Analyses; Detection; Development; Devices; Disabled Persons; Early Intervention; Effectiveness; Elderly; Emergency Situation; Environment; Evaluation; Event; Family; Family health status; Freedom; Frequencies; Friends; Future; Gait; Goals; Health; Health Personnel; Health Professional; Health Status; Healthcare Systems; Home environment; Homes for the Aged; Hybrids; Impaired cognition; Impairment; Independent Living; Individual; Information Systems; Laboratories; Length; Licensing; Life; Location; Maps; Marketing; Measurement; Measures; Monitor; Motion; Movement; Movement Disorders; Multiple Sclerosis; Operating System; Operative Surgical Procedures; Patients; Performance; Personal Satisfaction; Persons; Pharmaceutical Preparations; Phase; Physical Function; Play; Population; Positioning Attribute; Posture; Printing; Procedures; Quality of life; Radio; Research; Research Personnel; Resolution; Shapes; Signal Transduction; Social Interaction; Speed; System; Technology; Technology Assessment; Time; Transducers; Walking; Wireless Technology; aging population; base; clinically relevant; cognitive function; commercialization; cost; design; evaluation/testing; falls; forgetting; health care quality; improved; innovation; innovative technologies; meetings; meter; monitoring device; novel; novel strategies; prototype; public health relevance; remediation; research and development; research study; sensor; success; time use; usability

DESCRIPTION (provided by applicant): The goal of this project is to develop and evaluate a position tracking and mobility assessment system that will enable the elderly to live longer and more safely at home or in an assisted living facility. The ability to move is a critical function tat underlies the quality of life for the elderly. Changes in mobility such as speed of walking have been shown to correlate with changes in physical and cognitive function, and can predict future cognitive and physical decline. Positional tracking and mobility information can be further used to estimate clinically relevant activities of daily living, which are useful in assessing patient health. EmbedRF's objective in phase 2 is to continue research and development towards the commercialization of a new position tracking and mobility assessment system called MobileRF. This system will be low-cost, accurate, unobtrusive, and easy-to-install. In phase 1, preliminary prototype hardware was designed and fabricated, which enabled us to meet and exceed our specific aims by (1) demonstrating feasibility of the MobileRF system to effectively track one or more people's movement within a living space at sub-meter accuracy using a body-worn tag, and (2) demonstrating feasibility of tag-free tracking at 2-3 meter accuracy without requiring the individual to wear a tag. The system consists of multiple wireless access points (APs) positioned throughout the home, an (optional) small wireless tag worn by the individual, a hub that aggregates the information and performs the position tracking and mobility assessment, and an information system used to notify friends, family, and health care providers when a change in health status has occurred. The novel tag-free approach uses the APs to evaluate disruptions in radio frequency (RF) signals as a person walks freely throughout their home. During passive localization, the system will also determine walking speed, activity level, and assess social interaction by detecting if multiple people are present. For even higher levels of accuracy, a tag may be worn that uses time-of-flight wireless radio transceivers, inertial sensors (3-axis accelerometers and gyroscopes), and proprietary Bayesian tracking algorithms, to provide accurate sub-meter localization and fine level 3D movement and mobility assessment. In phase 2, we plan to build on the success achieved in phase 1 by adding several new sensors and features to the tag-free and tag-based tracking systems that will significantly improve our monitoring accuracy, completing the final prototype, and evaluating the system in the homes of 20 seniors. MobileRF will be marketed to (1) the senior independent living community, (2) assisted care facilities, (3) researchers who monitor mobility during clinical trials for assessing the effectiveness of drugs, surgical procedures, and other treatments for illness in older people, and (4) companies who provide patient tracking and health monitoring and want to license MobileRF technology to improve the accuracy and functionality of their current product offering.

描述（由申请人提供）：该项目的目标是开发和评估一个位置跟踪和活动评估系统，使老年人能够在家中或辅助生活设施中更安全地生活更长时间。活动能力是老年人生活质量的基础，是一项关键功能。活动能力的变化，如步行速度，已被证明与身体和认知功能的变化有关，并且可以预测未来的认知和身体衰退。位置跟踪和移动信息可以进一步用于估计临床相关的日常生活活动，这对评估患者健康很有用。第二阶段的目标是继续研究和开发一种名为MobileRF的新的位置跟踪和移动评估系统的商业化。该系统将具有低成本、精确、不显眼和易于安装的特点。在第一阶段，设计和制造了初步的原型硬件，这使我们能够满足并超越我们的具体目标：(1)证明MobileRF系统使用身体佩戴的标签以亚米精度有效跟踪生活空间内一个或多个人的运动的可行性，以及(2)证明在不需要个人佩戴标签的情况下以2-3米精度进行无标签跟踪的可行性。该系统由遍布家中的多个无线接入点（ap）、个人佩戴的小型无线标签（可选）、聚合信息并执行位置跟踪和移动评估的集线器以及用于在健康状况发生变化时通知朋友、家人和医疗保健提供者的信息系统组成。当一个人在家中自由行走时，这种新颖的无标签方法使用ap来评估射频信号的干扰。在被动定位过程中，系统还将确定步行速度、活动水平，并通过检测是否有多人在场来评估社会互动。对于更高级别的精度，可以佩戴使用飞行时间无线无线电收发器，惯性传感器（3轴加速度计和陀螺仪）和专有贝叶斯跟踪算法的标签，以提供精确的亚米定位和精细的3D运动和机动性评估。在第二阶段，我们计划在第一阶段取得成功的基础上，为无标签和基于标签的跟踪系统添加几个新的传感器和功能，这将大大提高我们的监测精度，完成最终的原型，并在20位老年人的家中对系统进行评估。MobileRF将面向：(1)老年独立生活社区，(2)辅助护理机构，(3)在临床试验期间监测活动能力以进行评估的研究人员