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Effects of robot-assisted gait training with active motion visual feedback induced by guidance force on walking speed in patients with chronic stroke: a pilot study

Mu-Hong Yoon, Duck‐Won Oh

发表年份
2020
引用次数
2
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摘要

Introduction This study aimed to determine the effects of robot-assisted gait training with active movement visual feedback induced by guidance force on walking speed in patients with chronic stroke. Methods A single-subject reversal (A-B) design was applied. overall, 3 patients with chronic stroke underwent robot-assisted gait training with visual feedback displaying active motion of the affected lower limb during the intervention phase. Walking function was measured by using the 10-m walk test (10MWT) and peak knee flexion angle (PKFA) during walking. Results during the intervention phase, the 10MWT score of subjects 1, 2, and 3 improved by 23.95%, 30.95%, and 43.71%, respectively, and the PKFA improved by 8.41%, 15.92%, and 32.25%, respectively. The walking speed and PKFA in all subjects after the training showed improvement when compared with the baseline phase (<i>p</i> < 0.05). Conclusions These findings suggest that robot-assisted gait training with active motion visual feedback and guidance force may be clinically helpful to improve walking recovery after stroke.

关键词

Physical medicine and rehabilitationVisual feedbackTraining (meteorology)Motion (physics)Chronic strokeStroke (engine)GaitGait trainingPreferred walking speedRobot

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