Lang Catherine E, Waddell Kimberly J, Klaesner Joseph W, Bland Marghuretta D
Program in Physical Therapy, Washington University School of Medicine; Program in Occupational Therapy, Washington University School of Medicine; Department of Neurology, Washington University School of Medicine;
Program in Physical Therapy, Washington University School of Medicine.
J Vis Exp. 2017 Apr 21(122):55673. doi: 10.3791/55673.
A key reason for referral to rehabilitation services after stroke and other neurological conditions is to improve one's ability to function in daily life. It has become important to measure a person's activities in daily life, and not just measure their capacity for activity in the structured environment of a clinic or laboratory. A wearable sensor that is now enabling measurement of daily movement is the accelerometer. Accelerometers are commercially-available devices resembling large wrist watches that can be worn throughout the day. Data from accelerometers can quantify how the limbs are engaged to perform activities in peoples' homes and communities. This report describes a methodology to collect accelerometry data and turn it into clinically-relevant information. First, data are collected by having the participant wear two accelerometers (one on each wrist) for 24 h or longer. The accelerometry data are then downloaded and processed to produce four different variables that describe key aspects of upper limb activity in daily life: hours of use, use ratio, magnitude ratio, and the bilateral magnitude. Density plots can be constructed that visually represent the data from the 24 h wearing period. The variables and their resultant density plots are highly consistent in neurologically-intact, community-dwelling adults. This striking consistency makes them a useful tool for determining if upper limb daily performance is different from normal. This methodology is appropriate for research studies investigating upper limb dysfunction and interventions designed to improve upper limb performance in daily life in people with stroke and other patient populations. Because of its relative simplicity, it may not be long before it is also incorporated in clinical neurorehabilitation practice.
中风和其他神经系统疾病后转介至康复服务的一个关键原因是提高个人的日常生活功能能力。衡量一个人的日常生活活动变得很重要,而不仅仅是在诊所或实验室的结构化环境中衡量他们的活动能力。一种现在能够测量日常活动的可穿戴传感器是加速度计。加速度计是类似大型手表的商用设备,可以整天佩戴。来自加速度计的数据可以量化四肢在人们家中和社区进行活动时的参与方式。本报告描述了一种收集加速度计数据并将其转化为临床相关信息的方法。首先,让参与者佩戴两个加速度计(每个手腕一个)24小时或更长时间来收集数据。然后下载并处理加速度计数据,以生成四个不同的变量,这些变量描述了日常生活中上肢活动的关键方面:使用时间、使用比例、幅度比例和双侧幅度。可以构建密度图,直观地表示24小时佩戴期间的数据。这些变量及其生成的密度图在神经功能正常的社区居住成年人中高度一致。这种显著的一致性使其成为确定上肢日常表现是否与正常情况不同的有用工具。这种方法适用于研究上肢功能障碍以及旨在改善中风患者和其他患者群体日常生活中上肢表现的干预措施的研究。由于其相对简单,可能不久之后它也会被纳入临床神经康复实践中。