Conference Agenda

Parkinson’s disease (PD) is a neurodegenerative disorder characterized by motor impair-ments such as bradykinesia, rigidity and reduced movement coordination. Clinical evalua-tion is commonly performed through observational scales, including the Movement Disorder Society Unified Parkinson’s Disease Rating Scale (MDS-UPDRS), whose assessment remains partially subjective and clinician-dependent. This research work proposed a prelim-inary Vicon–OpenSim workflow for the quantitative biomechanical assessment of Parkinsonian motor tasks. A healthy subject was acquired using a marker-based Vicon motion capture system while performing repeated seated leg-raising movements inspired by the MDS-UPDRS Leg Agility task. The acquired trajectories were processed and transferred into an OpenSim musculoskeletal model to reconstruct lower-limb kinematics within a multi-body biomechanical environment. The proposed framework aimed to extract objective kinematic descriptors, including joint range of motion, angular values and symmetry indices, integrating optical motion capture systems with musculoskeletal models. It provides an additional and reproducible biomechanical framework for transforming clinically standard-ized motor tasks into objective joint-level descriptors, useful in future biomechanical inves-tigations involving patients with Parkinson’s disease.