The Effects of Robot-Assisted Gait Training Using Visual Feedback on Gait and Balance Abilities in Subacute Stroke Patients

Purpose The purpose of this study was to investigate the effects of robotassisted gait training using visual feedback on gait and balance abilities in patients with stroke. Method Thirty patients with hemiparesis following stroke were randomly assigned to either a robotassisted gait training with visual feedback group (experimental group, EG), while the other 15 patients were assigned to robotassisted gait training without visual feedback group (control group, CG). The intervention was conducted for 30 minutes per session, five times a week, for a total of eight weeks. Both groups underwent functional assessments related to gait and balance before and after the treatment Result Gait and balance abilities were assessed before and after the intervention using the Zebris system and the Berg Balance Scale (BBS). Both groups showed significant improvements in gait and balance after the intervention (p <.05). Furthermore, comparison between the two groups revealed that the group receiving visual feedback showed greater improvement, and the difference was statistically significant (p <.05). Conclusion Robotassisted gait training using visual feedback was found to be effective in improving gait and balance abilities in patients with stroke.