Valdés Bulmaro Adolfo, Schneider Andrea Nicole, Van der Loos H F Machiel
Robotics for Rehabilitation Exercise and Assessment in Collaborative Healthcare Lab, Department of Mechanical Engineering, The University of British Columbia, Vancouver, BC, Canada.
Abilities Neurological Rehabilitation, Surrey, BC, Canada.
Arch Phys Med Rehabil. 2017 Oct;98(10):1932-1940. doi: 10.1016/j.apmr.2017.03.034. Epub 2017 May 17.
To investigate whether the compensatory trunk movements of stroke survivors observed during reaching tasks can be decreased by force and visual feedback, and to examine whether one of these feedback modalities is more efficacious than the other in reducing this compensatory tendency.
Randomized crossover trial.
University research laboratory.
Community-dwelling older adults (N=15; 5 women; mean age, 64±11y) with hemiplegia from nontraumatic hemorrhagic or ischemic stroke (>3mo poststroke), recruited from stroke recovery groups, the research group's website, and the community.
In a single session, participants received augmented feedback about their trunk compensation during a bimanual reaching task. Visual feedback (60 trials) was delivered through a computer monitor, and force feedback (60 trials) was delivered through 2 robotic devices.
Primary outcome measure included change in anterior trunk displacement measured by motion tracking camera. Secondary outcomes included trunk rotation, index of curvature (measure of straightness of hands' path toward target), root mean square error of hands' movement (differences between hand position on every iteration of the program), completion time for each trial, and posttest questionnaire to evaluate users' experience and system's usability.
Both visual (-45.6% [45.8 SD] change from baseline, P=.004) and force (-41.1% [46.1 SD], P=.004) feedback were effective in reducing trunk compensation. Scores on secondary outcome measures did not improve with either feedback modality. Neither feedback condition was superior.
Visual and force feedback show promise as 2 modalities that could be used to decrease trunk compensation in stroke survivors during reaching tasks. It remains to be established which one of these 2 feedback modalities is more efficacious than the other as a cue to reduce compensatory trunk movement.
研究在伸手够物任务中观察到的中风幸存者的代偿性躯干运动是否可通过力反馈和视觉反馈降低,并检验这两种反馈方式中的一种在减少这种代偿倾向方面是否比另一种更有效。
随机交叉试验。
大学研究实验室。
从中风康复小组、研究小组网站及社区招募的非创伤性出血性或缺血性中风(中风后>3个月)所致偏瘫的社区居住老年人(N = 15;5名女性;平均年龄64±11岁)。
在一次实验中,参与者在双手伸手够物任务期间接受关于其躯干代偿的增强反馈。视觉反馈(60次试验)通过计算机显示器提供,力反馈(60次试验)通过2个机器人设备提供。
主要结局指标包括通过运动跟踪摄像头测量的前躯干位移变化。次要结局指标包括躯干旋转、曲率指数(手部向目标移动路径的直线度测量)、手部运动的均方根误差(程序每次迭代时手部位置之间的差异)、每次试验的完成时间,以及评估用户体验和系统可用性的测试后问卷。
视觉反馈(与基线相比变化-45.6%[标准差45.8],P = 0.004)和力反馈(-41.1%[标准差46.1],P = 0.004)在减少躯干代偿方面均有效。两种反馈方式在次要结局指标上的得分均未改善。两种反馈条件均无优势。
视觉反馈和力反馈有望作为两种可用于减少中风幸存者在伸手够物任务中躯干代偿的方式。这两种反馈方式中哪一种作为减少代偿性躯干运动的线索比另一种更有效,仍有待确定。