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ORIGINAL PAPER
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
1
Department of Physical Therapy, immanuel Medical Rehabilitation & Long-Term Care Hospital, Graduate School, Cheongju University, Cheongju, Republic of Korea
2
Department of Physical Therapy, College of Health Science, Cheongju University, Cheongju, Republic of Korea
Submission date: 2019-09-25
Acceptance date: 2020-02-06
Publication date: 2020-08-20
Physiother Quart. 2020;28(3):56-61
KEYWORDS
TOPICS
ABSTRACT
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 (p < 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.
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 (p < 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.
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| eISSN: | 2544-4395 |
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