ML-Based Multi-Sensor Fall Risk Screening in DMD
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), comp
| Condition(s) | DMD |
|---|---|
| Status | Recruiting |
| Study type | Observational |
| Summary | 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. |
| Who can participate | Inclusion Criteria: 1. Individuals with a confirmed genetic diagnosis of Duchenne Muscular Dystrophy (DMD) 2. Age over 10 and under 30 years 3. Brooke Scale score between 2 and 5 4. Manual muscle test grade below 3 for shoulder abduction muscles Exclusion Criteria: 1. Individuals who are unable or unwilling to provide informed consent 2. Brooke Scale score of 1 or 6 3. Individuals with cognitive impairments that significantly limit their ability to participate in assessments |
| Ages | 10 Years to 30 Years |
| Sex | All |
| Lead sponsor | Seoul National University Hospital |
| Locations | Seoul, Jongno, South Korea |
| Start date | 2024-07-18 |
| NCT ID | NCT07015632 |
| Official listing | https://clinicaltrials.gov/study/NCT07015632 |