The Effect of Robot-assisted Gait Training on Gait Ability in Children With Cerebral Palsy
Overview
- Phase
- N/A
- Intervention
- Not specified
- Conditions
- Cerebral Palsy
- Sponsor
- Sahmyook University
- Enrollment
- 39
- Locations
- 1
- Primary Endpoint
- Gait ability
- Last Updated
- 4 years ago
Overview
Brief Summary
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.
Investigators
Hyun-Joong Kim
Principal Investigator
Sahmyook University
Eligibility Criteria
Inclusion Criteria
- •Patients 4-12 years old diagnosed with cerebral palsy
- •Children who have not received botulinum toxin treatment or surgery within 3 months
- •Children in stage 2 of the gross motor function system
- •Children who can express pain, fear, or discomfort on their own
Exclusion Criteria
- •Severe lower extremity contracture and fracture
- •Bone instability
- •Osteoporosis
- •Severe bones grow disproportionately
- •Unhealed skin lesions on the lower extremities (thromboembolic disease)
- •Thromboembolic disease
- •Cardiovascular instability
- •Mild scoliosis with a Cobb's angle of more than 20 degrees
Outcomes
Primary Outcomes
Gait ability
Time Frame: Change from baseline gait ability at 6 weeks
Gait ability is evaluated using the Zebris FDM-Treadmill. When the participants walks on the treadmill, the foot pressure is recorded at a rate of 120 Hz. The input pressure signal is displayed as a 2D/3D graph including the center of pressure while standing or walking, and the spatiotemporal measurements are displayed.