ML-Based Multi-Sensor Fall Risk Screening in DMD
ConditionDMD
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age10-30
SponsorSeoul National University Hospital
About this trial
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.
Eligibility criteria
Qualifiers
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
Disqualifiers
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
Trial design
Treatments tested in this trial
- Performance of the Upper Limb, Brooke Scale, grip strength test
Treatment groups
No treatment groups listed
Sponsors and collaborators
Source ClinicalTrials.gov