Clinical Trials Directory

Trials / Recruiting

RecruitingNCT07015632

ML-Based Multi-Sensor Fall Risk Screening in DMD

Quantitative Analysis of Upper Extremity Functional Movement of the Upper Extremity in Patients With Duchenne Muscular Dystrophy

Status
Recruiting
Phase
Study type
Observational
Enrollment
30 (estimated)
Sponsor
Seoul National University Hospital · Academic / Other
Sex
All
Age
10 Years – 30 Years
Healthy volunteers
Not accepted

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.

Conditions

Interventions

TypeNameDescription
OTHERPerformance of the Upper Limb, Brooke Scale, grip strength testThirty 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.

Timeline

Start date
2024-07-18
Primary completion
2025-07-30
Completion
2026-12-01
First posted
2025-06-11
Last updated
2025-06-13

Locations

1 site across 1 country: South Korea

Source: ClinicalTrials.gov record NCT07015632. Inclusion in this directory is not an endorsement.