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In this paper, by characterizing the Leg Agility (LA) task, which contributesto the evaluation of the degree of severity of the Parkinson's Disease (PD),through kinematic variables (including the angular amplitude and speed ofthighs' motion), we investigate the link between these variables and UnifiedParkinson's Disease Rating Scale (UPDRS) scores. Our investigation relies onthe use of a few body-worn wireless inertial nodes and represents a first stepin the design of a portable system, amenable to be integrated in Internet ofThings (IoT) scenarios, for automatic detection of the degree of severity (interms of UPDRS score) of PD. The experimental investigation is carried outconsidering 24 PD patients.

Assigning UPDRS Scores in the Leg Agility Task of Parkinsonians: Can It Be Done through BSN-based Kinematic Variables?