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http://dx.doi.org/10.5762/KAIS.2016.17.10.562

Effect of Robot Assisted Rehabilitation Based on Visual Feedback in Post Stroke Pusher Syndrome  

Kim, Min-Su (Department of Rehabilitation Medicine, Wonkwang University School of Medicine)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.17, no.10, 2016 , pp. 562-568 More about this Journal
Abstract
This study to investigated the therapeutic effect of robot-assisted rehabilitation (Lokomat) with virtual reality (VR) on Pusher syndrome (PS) after stroke. A total of 10 patients presented with PS after stroke were recruited. The participants were divided into two groups: Lokomat (n=5) and control groups (n=5). Lokomat and conventional physical therapy (CPT) were performed together in the experimental group, and the patients in the control group were treated with CPT only twice a day. One session of intervention was carried out for 30 minutes five times per week for 4 weeks. Scale for contraversive pushing (SCP), Berg balance scale (BBS), falling index (FI), and Timed up and go test (TUG) were measured before and after the intervention. The Lokomat group produced significantly better outcomes in SCP (p=0.046), BBS (p=0.046), FI (p=0.038), and TUG (p=0.038) compared with the control group after 4 weeks of intervention. In addition, there were significant correlations between SCP and BBS (p=0.024), FI (p=0.039), and TUG (p=0.030). In conclusion, Lokomat with VR more effectively aided recovery from PS after stroke, and restoration of PS symptoms was related with improvement of balance and gait function.
Keywords
Balance; Fall; Pusher syndrome; Robot assisted therapy; Stroke;
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Times Cited By KSCI : 4  (Citation Analysis)
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