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ML-Based Multi-Sensor Fall Risk Screening in DMD

NCT07015632 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 30

Last updated 2025-06-13

No results posted yet for this study

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

OTHER

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

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.

Sponsors & Collaborators

  • Seoul National University Hospital

    lead OTHER

Eligibility

Min Age
10 Years
Max Age
30 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-07-18
Primary Completion
2025-07-30
Completion
2026-12-01

Countries

  • South Korea

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07015632 on ClinicalTrials.gov