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Identifying Parkinson’s Disease from Gait Biomechanics Using a Participant-Level Machine Learning Analysis Pipeline
Parkinson’s disease (PD) is a progressive neurodegenerative disorder characterized by motor control, balance, and gait impairments that significantly elevate fall risk. Traditional gait analysis focuses on spatiotemporal parameters, while gait variability, asymmetry, and balance measures offer more
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