title: Automatic UPDRS Evaluation in the Sit-to-Stand Task of Parkinsonians: Kinematic Analysis and Comparative Outlook on the Leg Agility Task.
abstract: In this study, we first characterize the sit-to-stand (S2S) task, which contributes to the evaluation of the degree of severity of the Parkinson's disease (PD), through kinematic features, which are then linked to the Unified Parkinson's disease rating scale (UPDRS) scores. We propose to use a single body-worn wireless inertial node placed on the chest of a patient. The experimental investigation is carried out considering 24 PD patients, comparing the obtained results directly with the kinematic characterization of the leg agility (LA) task performed by the same set of patients. We show that i) the S2S and LA tasks are rather unrelated and ii) the UPDRS distributions (for both S2S and LA tasks) across the patients have a direct impact on the observed system performance.
authors.forename: Matteo
authors.initials: M
authors.lastname: Giuberti
authors.forename: Gianluigi
authors.initials: G
authors.lastname: Ferrari
authors.forename: Laura
authors.initials: L
authors.lastname: Contin
authors.forename: Veronica
authors.initials: V
authors.lastname: Cimolin
authors.forename: Corrado
authors.initials: C
authors.lastname: Azzaro
authors.forename: Giovanni
authors.initials: G
authors.lastname: Albani
authors.forename: Alessandro
authors.initials: A
authors.lastname: Mauro
mesh_terms: D000328:Adult; D000368:Aged; D001696:Biomechanical Phenomena; D005260:Female; D006801:Humans; D007866:Leg / Q000503:physiopathology*; D008297:Male; D008875:Middle Aged; D008991:Monitoring, Physiologic; D010300:Parkinson Disease / Q000145:classification* / Q000503:physiopathology*; D012720:Severity of Illness Index; D012815:Signal Processing, Computer-Assisted; D059015:Wireless Technology