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ML-Based Multi-Sensor Fall Risk Screening in DMD

Recruitingn/aAges 10 Years - 30 YearsAllSeoul National University Hospital
NCT07015632 on ClinicalTrials.gov ↗
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In plain words

What the trial is, and whether it could suit you

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.

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📋 Eligibility rules (as published)
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
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What it tests

  • Performance of the Upper Limb, Brooke Scale, grip strength test
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Where

1 site
Seoul National University Hospital
Seoul, South Korea
🤝 Taking part is your choice, and you can leave at any time. Only the trial team can confirm you are eligible — always decide together with your own doctor.
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