Smallest real differences for robotic measures of upper extremity function after stroke: Implications for tracking recovery:

Journal of Rehabilitation and Assistive Technologies Engineering

JoséZariffa¹ 

关键词: Rehabilitation robotics;    upper limb;    functional assessment;    stroke;    smallest real difference;    reliability;   

DOI  :  10.1177/2055668318788036

学科分类：工程和技术（综合）

来源: Sage Journals

【 摘 要 】

IntroductionMeasurements from upper limb rehabilitation robots could guide therapy progression, if a robotic assessment’s measurement error was small enough to detect changes occurring on a time scale of a few days. To guide this determination, this study evaluated the smallest real differences of robotic measures, and of clinical outcome assessments predicted from these measures.MethodsA total of nine older chronic stroke survivors took part in 12-week study with an upper-limb end-effector robot. Fourteen robotic measures were extracted, and used to predict Fugl-Meyer Assessment-Upper Extremity (FMA-UE) and Action Research Arm Test (ARAT) scores using multilinear regression. Smallest real differences and intraclass correlation coefficients were computed for the robotic measures and predicted clinical outcomes, using data from seven baseline sessions.ResultsSmallest real differences of robotic measures ranged from 8.8% to 26.9% of the available range. Smallest real differences of predicted clinical assess...

【 授权许可】

CC BY