Department of Rehabilitation & Assistive Technology, National Rehabilitation Center, Ministry of Health and Welfare, Seoul 01022, Korea.
Translational Research Program for Rehabilitation Robots, National Rehabilitation Center, Ministry of Health and Welfare, Seoul 01022, Korea.
Sensors (Basel). 2021 Oct 25;21(21):7055. doi: 10.3390/s21217055.
Analysis of kinematic features related to clinical assessment scales may qualitatively improve the evaluation of upper extremity movements of stroke patients. We aimed to investigate kinematic features that could correlate the change in the Fugl-Meyer Assessment (FMA) score of stroke survivors through upper extremity robotic rehabilitation. We also analyzed whether changes in kinematic features by active and active-assisted robotic rehabilitation correlated differently with changes in FMA scores. Fifteen stroke patients participated in the upper extremity robotic rehabilitation program, and nine kinematic features were calculated from reach tasks for assessment. Simple and multiple linear regression analyses were used to characterize correlations. Features representing movement speed were associated with changes in FMA scores for the group that used an active rehabilitation robot. In contrast, in the group that used an active-assisted rehabilitation robot, features representing movement smoothness were associated with changes in the FMA score. These estimates can be an important basis for kinematic analysis to complement clinical scales.
分析与临床评估量表相关的运动学特征可以定性地改善对脑卒中患者上肢运动的评估。我们旨在研究通过上肢机器人康复治疗，哪些运动学特征与脑卒中幸存者 Fugl-Meyer 评估（FMA）评分的变化相关。我们还分析了主动和主动辅助机器人康复治疗引起的运动学特征的变化是否与 FMA 评分的变化有不同的相关性。15 名脑卒中患者参加了上肢机器人康复计划，并且从评估的伸手任务中计算了 9 个运动学特征。采用简单和多元线性回归分析来描述相关性。代表运动速度的特征与使用主动康复机器人的患者的 FMA 评分变化相关。相比之下，在使用主动辅助康复机器人的患者组中，代表运动平滑度的特征与 FMA 评分的变化相关。这些估计值可以作为运动学分析的重要依据，以补充临床量表。
