Virtual reality combined with robot-assisted gait training to improve walking ability of children with cerebral palsy: A randomized controlled trial
Wensheng Fu, Yicun Song, Baoai Wu, Chen-Huan Qu, Jinfeng Zhao
- Year
- 2022
- Citations
- 19
Abstract
BACKGROUND: Children with cerebral palsy (CP) have disorders of posture and movement and which can limit physical activities such as walkingOBJECTIVE: This study aims to investigate the effectiveness of virtual reality (VR) combined with robot-assisted gait training (RAGT) on walking ability in children with CP and clarify the most effective degree of weight reduction. METHODS: Sixty CP children were recruited and randomly allocated into four different groups. The control group received conventional physical therapy (n= 15), and task groups performed VR combined with RAGT with 15% (Group A, n= 15) /30% (Group B, n= 15) /45% (Group C, n= 15) weight loss. All participants were given 50 min of therapy per session four times a week for 12 weeks and were assessed pre-and post-test with the surface electromyography (EMG), the Modified Ashworth Scale, the Gross Motor Function Measure (GMFM) dimension E and D, and Six-Minute Walking Test (6-MWT). RESULTS: All indicators had improved significantly in each group after the intervention (P< 0.05). The result of our study demonstrated that the more effective impacts of VR combined with RAGT on walking ability compared to the control group (P< 0.05), and 30% of weight loss had the best improvement in CP children (P< 0.01). CONCLUSIONS: VR combined RAGT can effectively improve walking ability in children with CP, especially when the weight loss is 30%.
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