Actively Recruiting
ML-Based Multi-Sensor Fall Risk Screening in DMD
Led by Seoul National University Hospital · Updated on 2025-06-13
30
Participants Needed
1
Research Sites
123 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
This prospective observational study aims to analyze changes in upper extremity functional movement over time in children with Duchenne Muscular Dystrophy (DMD). Thirty patients will be evaluated at three time points (baseline, 6 months, 12 months) using clinical assessments (PUL 2.0, Brooke Scale, grip strength), computer vision-based video analysis, and machine learning algorithms. The goal is to improve future upper limb evaluation methods for non-ambulatory DMD patients. The study includes safety monitoring and adheres to ethical standards, ensuring patient data confidentiality and providing compensation if adverse effects occur.
CONDITIONS
Official Title
ML-Based Multi-Sensor Fall Risk Screening in DMD
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Individuals with a confirmed genetic diagnosis of Duchenne Muscular Dystrophy (DMD)
- Age over 10 and under 30 years
- Brooke Scale score between 2 and 5
- Manual muscle test grade below 3 for shoulder abduction muscles
You will not qualify if you...
- Individuals who are unable or unwilling to provide informed consent
- Brooke Scale score of 1 or 6
- Individuals with cognitive impairments that significantly limit their ability to participate in assessments
AI-Screening
AI-Powered Screening
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Trial Site Locations
Total: 1 location
1
Seoul National University Hospital
Seoul, Jongno, South Korea, 03080
Actively Recruiting
Research Team
J
JungHyun Kim, prof
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
0
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