Effects of Robot-Assisted Gait Training with Body Weight Support on Gait and Balance in Stroke Patients

Wonho Choi
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Wonho Choi: Department of Physical Therapy, Gachon University, Incheon 21936, Korea

IJERPH, 2022, vol. 19, issue 10, 1-9

Abstract: This study investigated the effects of robot-assisted gait training with body weight support on gait and balance in stroke patients. The study participants comprised 24 patients diagnosed with stroke. Patients were randomly assigned to four groups of six: robot A, B, C, and non-robot. The body weight support (BWS) for the harness of the robot was set to 30% of the patient’s body weight in robot group A, 50% in robot group B, and 70% in robot group C. All experimental groups received robot-assisted gait training and general physical therapy. The non-robot group underwent gait training using a p-bar, a treadmill, and general physical therapy. The intervention was performed for 30 min a day, five times a week, for 6 weeks. All participants received the intervention after the pre-test. A post-test was performed after all of the interventions were completed. Gait was measured using a 10 m Walking test (10MWT) and the timed up and go (TUG) test. Balance was assessed using the Berg Balance Scale (BBS). Robot groups A, B, and C showed significantly better 10MWT results than did the non-robot group ( p < 0.5). TUG was significantly shorter in robot groups A, B, and C than in the non-robot group ( p < 0.5). The BBS scores for robot group A improved significantly more than did those for robot groups B and C and the non-robot group ( p < 0.5), indicating that robot-assisted gait training with body weight support effectively improved the gait of stroke patients.

Keywords: stroke; body weight support; robot-assisted gait training (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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