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Robot-assisted gait training (RAGT) improves the gait ability of children with cerebral palsy, and can provide treatment plans and guidelines through changed records of various gait variables. There is a lack of concrete explanations or arguments for gait speed, weight support ratio, support force, joint angle, etc. that can be set in the RAGT system, and intervention intensity for an appropriate intervention program has not been presented. Therefore, in this study, we would like to suggest clinically effective interventions for children with cerebral palsy in the second stage of the gross motor function classification system (GMFCS) by identifying gait variables according to differences in gait speed during RAGT.
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39 participants in 3 patient groups
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Sun-Geon Park, Ph.D candidate
Data sourced from clinicaltrials.gov
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