Clinical Trial

ML-Based Multi-Sensor Fall Risk Screening in DMD

Recruiting
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Record status
This record was last updated June 13, 2025 (before its estimated July 30, 2025 completion). Its status may not reflect the trial's current state.
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.
Protocol Amendment History 1 amendment
This ClinicalTrials.gov record has been amended once since 2025-06-03.
Trial Details
NCT Number NCT07015632
Lead Sponsor Seoul National University Hospital
Conditions DMD
Enrollment 30 participants
Start Date 2024-07-18
Primary Completion 2025-07-30 (estimated)
Study Completion 2026-12-01 (estimated)
Updated on ClinicalTrials.gov 2025-06-13