Effects of Kinematic Biofeedback on Gait Quality in People With Stroke
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Stroke
- Sponsor
- National Yang Ming Chiao Tung University
- Enrollment
- 40
- Locations
- 1
- Primary Endpoint
- Gait symmetry
- Status
- Recruiting
- Last Updated
- last year
Overview
Brief Summary
Walking disorder is the most common and concerning issue for individuals with stroke. Previous studies have often used improvements in walking speed and distance as reference indicators for the advancement of gait performance in individuals with stroke. However, for individuals with chronic stroke, considering gait symmetry and variability to enhance gait quality as the primary intervention target may be more crucial. According to a literature review, it can be inferred that the application of biofeedback to detect gait quality may be an effective approach to improve gait symmetry and variability in individuals with stroke. However, there is still insufficient research evidence on this issue. Therefore, this study aims to investigate the effects of a kinematic biofeedback device system, which detects hip joint angles, on gait quality in individuals with chronic stroke.
Investigators
Yea-Ru Yang
Professor
National Yang Ming Chiao Tung University
Eligibility Criteria
Inclusion Criteria
- •First stroke
- •Stroke onset time ≥ 6 months
- •Functional Ambulation Category ≥3
- •Passive range of motion of affected hip extension is at least 10 degrees
- •Mini-Mental State Measurement score ≥ 24 points
Exclusion Criteria
- •Modified Ashworth Scale of affected ankle plantar flexors ≥ 2
- •Muscle strength of affected ankle plantar flexors via Manual Muscle Testing ≤ 1
- •Uncorrected auditory impairment
- •Severe cardiovascular disease or uncontrolled hypertension
- •Other orthopedic diseases that may affect walking ability
- •Other neurological disease except stroke
Outcomes
Primary Outcomes
Gait symmetry
Time Frame: 1 day
Using GAITRite system to measure the symmetry of spatiotemporal parameters, including step length, step width, single support time, and double support time. Calculate the gait symmetry using following formula: Gait symmetry = affected side/ unaffected side.
Gait variability
Time Frame: 1 day
Using GAITRite system to measure the coefficient of variation (CV). The mean and standard deviation will be used to calculate the coefficient of variation (CV). CV = standard deviation / mean \* 100%
Secondary Outcomes
- Propulsive force(1 day)