Sensor Network for Monitoring Real-world Arm Activity of Rehabilitation Patients

用于监测康复患者真实手臂活动的传感器网络

• 批准号: 8004641
• 负责人: GITENDRA USWATTE
• 金额: $ 12.49万
• 依托单位: ACTIVE WAVE, INC.
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-24 至 2011-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8004641
• 关键词: Acceleration; Adult; Aging; Benchmarking; Brain Injuries; Businesses; Clinical; Collection; Communities; Computer software; Data; Data Storage and Retrieval; Elderly; Equipment; Equipment and supply inventories; Evaluation; Event; Exercise; Frequencies; Furniture; Glass; Goals; Government; Hand; Home environment; Household; Impairment; Individual; Laboratories; Laboratory Study; Left; Length; Life; Location; Manuals; Manuscripts; Measures; Medical; Methods; Monitor; Movement; Names; Neurorehabilitation; Obstruction; Packaged Hospitals; Patient Self-Report; Patients; Persons; Plants; Radio; Radio Waves; Reader; Rehabilitation Outcome; Rehabilitation therapy; Reporting; Research; Research Design; Research Personnel; Rest; Running; Sampling; Sensitivity and Specificity; Shipping; Ships; Signal Transduction; Stroke; Surveys; Survivors; System; Technology; Test Result; Testing; Time; TimeLine; Upper Extremity; Validity and Reliability; arm; base; cost; data acquisition; design; effective therapy; falls; grasp; indexing; instrument; interest; laptop; meetings; programs; prototype; public health relevance; sensor; software systems; theories; tool; virtual; wireless network

DESCRIPTION (provided by applicant): Evidence and theory indicate that laboratory measures of impairment and function do not predict how older adults actually function in daily life. Thomas Glass (1998), for example, reports marked differences between functional activities that community residents "can do" and "do do" in survey data from the MacArthur Studies of Successful Aging. Therefore, substantial effort has been spent on developing measures of function in daily life. Most of the new instruments, however, rely on self-report. The PI's research group and others have employed accelerometers, sensors that detect movement, to objectively measure the amount of upper- extremity activity in the community among brain injury survivors. The PI has shown that his group's measure is correlated with self-reported more-impaired arm use in daily life after brain injury, and is a reliable and valid index of rehabilitation outcome. Like other accelerometer measures, however, it can not discriminate whether a given arm movement is functional or non-functional and can not identify what tasks were performed. We propose to develop a measure of upper-extremity activity using radio frequency identification (RFID) tags paired with movement and proximity sensors. Active RFID tags are small and inexpensive (< $25) enough to be affixed to everyday objects, and can send radio signals indicating changes in object status to a central receiver. An acceleration sensor will be used to trigger the RFID tag when a tagged object is moved. A low radio frequency proximity sensor will be developed to trigger the RFID tag when the arm of interest is the one moving the tagged object. Software will be developed to track which objects are manipulated (movement sensor with unique tag ID for each object), when they are manipulated (time stamp on each trigger event), whether they are manipulated by the person and arm of interest (radio proximity sensor), and for how long they are manipulated (time for which the proximity sensor stays "ON"). Thus, the proposed system might permit collection of much richer objective data than possible now. In this initial, 6-month project, we will conduct benchmark testing to evaluate its limits and a laboratory study with healthy individuals (N = 26) using selected everyday objects to evaluate its reliability and validity on preliminary basis. An initial application would be determining the effect of upper-extremity rehabilitation on amount and type of functional activity performed with the more-impaired arm in the home setting by tagging a random sample of commonly used objects in the patients' homes before and after therapy. The proposed approach, however, has much wider application. For example, RFID tags could be affixed to exercise objects to monitor compliance with home exercise programs. In conjunction with a PC-based virtual therapist in the home, an RFID system could be used to reinforce functional activity in the home setting in real time, and thereby help transfer gains made in the clinical setting to the real world. Because RFID tags are already in widespread commercial use, an important factor in considering possible applications is that their cost is likely to fall sharply. PUBLIC HEALTH RELEVANCE: The goal of this project is to develop and test a network of wireless sensors for measuring how long and for what activities stroke and other brain injury survivors use their impaired arm at home. If successful, this tool will permit rehabilitation researchers and clinicians to more accurately measure the effects of arm rehabilitation therapy on how patients function in their daily life, ultimately leading to more effective treatments. When paired with virtual therapist software running on a laptop in patients' home, this tool, in addition, might be incorporated into existing therapies to directly reinforce everyday use of the impaired arm.

描述（由申请人提供）：证据和理论表明，障碍和功能的实验室度量不能预测老年人在日常生活中的实际功能。例如，托马斯·格拉斯（Thomas Glass，1998）报告说，来自麦克阿瑟（MacArthur）成功衰老的麦克阿瑟（MacArthur）研究中，社区居民“可以做”和“做”的功能活动之间的差异。因此，已经花费了大量精力来制定日常生活中的功能度量。但是，大多数新工具都依赖于自我报告。 PI的研究小组和其他人采用了加速度计，传感器来检测运动，以客观地衡量脑损伤幸存者中社区中上肢活动的数量。 PI表明，他的小组的措施与脑损伤后日常生活中自我报告的手臂使用更大的手臂使用相关，并且是康复结果的可靠且有效的指数。但是，像其他加速度计测量值一样，它无法区分给定的手臂运动是功能还是非功能性的，并且无法确定执行了哪些任务。我们建议使用与运动和接近传感器配对的射频识别（RFID）标签来开发上超级活动的度量。活动的RFID标签小且便宜（<$ 25），足以将其固定在日常对象上，并且可以发送无线电信号，以指示对象状态的更改为中央接收器。当标记对象移动时，将使用加速传感器触发RFID标签。当感兴趣的手臂是移动标记的对象的一个​​时，将开发低射频接近传感器以触发RFID标签。将开发软件以跟踪操纵哪些对象（每个对象的唯一标签ID），当它们被操纵时（每个触发事件上的时间戳记），无论它们是否被感兴趣的人和手臂操纵（无线电邻近传感器） ），以及他们被操纵的时间（接近传感器“在”上保持的时间）。因此，所提出的系统可能允许收集比现在可能更丰富的目标数据。在这个最初的6个月项目中，我们将使用选定的日常对象进行基准测试，以评估其健康个体（n = 26）的实验室研究，以初步评估其可靠性和有效性。最初的应用将是通过在治疗前后对患者房屋中常用对象的随机样本进行标记，在家庭环境中使用较大的手臂执行的高超高康复对功能活动的数量和类型的影响。但是，提出的方法具有更广泛的应用。例如，可以将RFID标签固定为锻炼对象，以监视对家庭锻炼计划的遵守。与家庭中的基于PC的虚拟治疗师结合使用，可以使用RFID系统实时加强家庭环境中的功能活动，从而有助于在临床环境中带来的转移收益到现实世界。由于RFID标签已经广泛使用，因此考虑可能应用的一个重要因素是它们的成本可能会急剧下降。 公共卫生相关性：该项目的目的是开发和测试无线传感器网络，以衡量中风和其他脑损伤幸存者在家中使用的活动的时间和其他脑损伤。如果成功，此工具将允许康复研究人员和临床医生更准确地测量ARM康复治疗对患者在日常生活中的功能的影响，最终导致更有效的治疗方法。当与在患者家中的笔记本电脑上运行的虚拟治疗师软件配对时，此工具还可以纳入现有疗法中，以直接加强日常使用受损的ARM。

项目成果

Network of movement and proximity sensors for monitoring upper-extremity motor activity after stroke: proof of principle.

用于监测中风后上肢运动活动的运动和接近传感器网络：原理证明。

• DOI: 10.1016/j.apmr.2013.09.013
• 发表时间: 2014
• 期刊: Archives of physical medicine and rehabilitation
• 影响因子: 4.3
• 作者: Sokal,Brad;Uswatte,Gitendra;Barman,Joydip;Brewer,Michael;Byrom,Ezekiel;Latten,Jessica;Joseph,Jeethu;Serafim,Camila;Ghaffari,Touraj;Sarkar,Nilanjan
• 通讯作者: Sarkar,Nilanjan