ML-Based Multi-Sensor Fall Risk Screening in DMD

Sponsor
Seoul National University Hospital
Study ID
NCT07015632
Status
Recruiting
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Conditions

Eligibility Criteria

Sex
ALL
Age
10 Years - 30 Years
Healthy Volunteers
Not accepted

Interventions

  • Performance of the Upper Limb, Brooke Scale, grip strength test — OTHER
    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.

Study Details

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 Dates

Start date
Jul 18, 2024
Status verified
May 2025
Primary completion
Jul 30, 2025
Completion
Dec 1, 2026

Study Design

Enrollment
30 participants (estimated)

Primary Outcome Measure

Performance of the upper limb module 2.0 [ Time Frame: baseline - 6 months - 12 months ]

Central Contacts

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