Study of Upper Limb Movement Using Machine Learning in Duchenne Muscular Dystrophy Patients Aged 10 to 30 Years

What this Trial Is About

Researchers are analyzing changes in upper arm movement over time in children and young adults with Duchenne Muscular Dystrophy DMD. This observational study focuses on improving evaluation methods for upper limb function in non-ambulatory DMD patients by using clinical tests and advanced video analysis. Thirty participants will be studied to better understand functional changes and support future care. Participants will be assessed at three visits baseline, 6 months, and 12 months. At each visit, clinical assessments including the Performance of the Upper Limb module 2.0 PUL 2.0, Brooke Scale, and grip strength tests will be performed. These evaluations will be combined with computer vision video analysis and machine learning to provide detailed movement data. During the study, participants will undergo clinical exams and video recordings to track upper limb function. The main measure is the PUL 2.0 score over time, with secondary measures including Brooke Scale scores and grip strength. Safety monitoring is in place, patient data confidentiality is maintained, and compensation is available if any adverse effects occur. The total participation lasts about one year with three assessment visits.

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