ML-Based Multi-Sensor Fall Risk Screening in DMD

Recruiting now

Conditions studied: DMD

In brief

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.

Key facts

Study ID

NCT07015632

Run by

Seoul National University Hospital

People needed

30

Starts

2024-07-18

Expected to finish

2026-12-01

Last updated by the study team

2025-06-13

Who can join

Age: 10 and older, up to 30. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• 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 may not qualify if…

• 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

Where it is running

• Seoul National University Hospital — Seoul, Jongno, South Korea (enrolling)

Full record on ClinicalTrials.gov

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