ML-Based Multi-Sensor Fall Risk Screening in DMD

Seoul National University

Status: Enrolling

Conditions: DMD

Treatments: Other: Performance of the Upper Limb, Brooke Scale, grip strength test

Study type: Observational

Funder types: Other

Identifiers

NCT07015632

0420232060

Details and patient eligibility

About

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.

Enrollment: 30 estimated patients

Sex: All

Ages: 10 to 30 years old

Volunteers: No Healthy Volunteers

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