Division of Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, CA.
Program in Physical Therapy, Washington University School of Medicine, St. Louis, MO.
Arch Phys Med Rehabil. 2019 Jun;100(6):1176-1183. doi: 10.1016/j.apmr.2019.01.004. Epub 2019 Jan 29.
Knowledge of upper limb activity in the natural environment is critical for evaluating the effectiveness of rehabilitation services. Wearable sensors allow efficient collection of these data and have the potential to be less burdensome than self-report measures of activity. Sensors can capture many different variables of activity and daily performance, many of which could be useful in identifying deviation from typical movement behavior or measuring outcomes from rehabilitation interventions. Although it has potential, sensor measurement is just emerging, and there is a lack of consensus regarding which variables of daily performance are valid, sensitive, specific, and useful. We propose that symmetry of full-day upper limb movement is a key variable. We describe here that symmetry is valid, robustly observed within a narrow range across the lifespan in typical development, and shows evidence of being different in populations with neuromotor impairment. Key next steps include the determination of sensitivity, specificity, minimal detectable change, and minimal clinically important change/difference. This information is needed to determine whether an individual belongs to the typical or atypical group, whether change has occurred, and whether that change is beneficial.
了解上肢在自然环境中的活动对于评估康复服务的效果至关重要。可穿戴传感器可高效采集这些数据,而且其活动和日常表现的测量负担可能比自我报告式测量更小。传感器可以捕捉到许多不同的活动变量和日常表现变量,其中许多变量可能有助于识别与典型运动行为的偏差,或者衡量康复干预措施的效果。尽管具有潜力,但传感器测量才刚刚出现,对于哪些日常表现变量是有效的、敏感的、特异的和有用的,目前尚未达成共识。我们提出,全天上肢运动的对称性是一个关键变量。我们在此描述了对称性在典型发育过程中在狭窄范围内具有有效性和稳健性,并且在神经运动障碍人群中表现出不同的证据。下一步的关键包括确定敏感性、特异性、最小可检测变化和最小临床重要变化/差异。这些信息对于确定个体属于典型组还是非典型组、是否发生了变化以及该变化是否有益是必要的。