Tracking Arm and Hand Movement Over Time in Duchenne Muscular Dystrophy
Studies arm and hand movement in people with Duchenne muscular dystrophy.
Plain-language title generated from the registry record
Registry title: ML-Based Multi-Sensor Fall Risk Screening in DMD
Key facts
- Where
- Seoul, South KoreaSee the site
Could this be for you?
Answer for yourself. This is not a decision: only the study team can say whether you can take part.
- Are you between 10 and 30 years old?
Source: NCT07015632, who can take part
Where in South Korea
- Seoul National University HospitalSeoul, South KoreaTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Seoul National University Hospital
- Trial code
- NCT07015632
- Record updated
- 13 June 2025
- Original description
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.Read full original descriptionShow less
Quantitative Analysis of Upper Extremity Functional Movement of the Upper Extremity in Patients With Duchenne Muscular Dystrophy
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.
Inclusion: 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.
Exclusion: 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.