Effects of gait training with a voluntary driven Wearable Cyborg, Hybrid Assistive Limb (HAL), in patients with spinal cord disease
Not Applicable
- Conditions
- spinal cord disease
- Registration Number
- JPRN-UMIN000041280
- Lead Sponsor
- Dept of Rehabilitation Medicine, Hirosaki University, Graduate school of Medicine
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Complete: follow-up continuing
- Sex
- All
- Target Recruitment
- 10
Inclusion Criteria
Not provided
Exclusion Criteria
Other central nervous system diseases, nerve/muscle diseases, or locomotor system diseases clearly influence the deterioration of walking ability. HAL is difficult to wear due to severe deformation of limbs and trunk caused by osteoarthritis, spondylosis, scoliosis, etc. It is difficult to follow the instructions due to severe dementia. Has respiratory, circulatory, and metabolic system dysfunction, bleeding tendency, and osteoporosis, which are problems in training. Biomedical electrodes cannot be attached due to skin diseases.
Study & Design
- Study Type
- Interventional
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method The parameters were measured before treatment, 3 month after treatment. 1. JOA score 2. ADL score(Barthel index,Functional Independence Measure) 3. Patient-standing QOL score(SF36,EuroQOL-5D) 4. 10-m walk test 5. 6-min walk test 6. Tilt of the trunk and angle of hips, knees and ankles during walking 7. Lower extremity muscle activity during walking (gluteus maximus, gluteus medius, quadriceps, hamstring, tibialis anterior, triceps surae) 8. Signal intensity of nerve conduction path in simple MRI images (Synthetic MRI, Quantitative Susceptibility Mapping, diffusion tensor image, 3D-MRI, 3D-FLAIR, Finger-Printing)
- Secondary Outcome Measures
Name Time Method