Title :
Assigning UPDRS Scores in the Leg Agility Task of Parkinsonians: Can It Be Done Through BSN-Based Kinematic Variables?
Author :
Giuberti, Matteo ; Ferrari, Gianluigi ; Contin, Laura ; Cimolin, Veronica ; Azzaro, Corrado ; Albani, Giovanni ; Mauro, Alessandro
Author_Institution :
Dept. of Inf. Eng., Univ. of Parma, Parma, Italy
Abstract :
In this paper, by characterizing the leg agility (LA) task, which contributes to the evaluation of the degree of severity of the Parkinson´s disease (PD), through kinematic variables (including the angular amplitude and speed of thighs´ motion), we investigate the link between these variables and unified Parkinson´s disease rating scale (UPDRS) scores. Our investigation relies on the use of a few body-worn wireless inertial nodes and represents a first step in the design of a portable system, amenable to be integrated in Internet of Things (IoT) scenarios, for automatic detection of the degree of severity (in terms of UPDRS score) of PD. The experimental investigation is carried out considering 24 PD patients.
Keywords :
Internet of Things; biomechanics; biomedical optical imaging; body sensor networks; diseases; infrared imaging; kinematics; medical disorders; medical image processing; neurophysiology; portable instruments; BSN-based kinematic variables; Internet-of-Things; Parkinson disease rating scale score; UPDRS scores; angular amplitude; automatic detection; body-worn wireless inertial nodes; degree-of-severity; infrared imaging; leg agility task; portable system; thigh motion speed; Biomedical monitoring; Intelligent sensors; Internet of Things; Kinematics; Medical devices; Medical services; Special issues and sections; Wireless sensor networks; Inertial sensors; Leg Agility; Parkinson’s Disease; Parkinson???s disease (PD); UPDRS scores; inertial sensors; leg agility (LA); unified Parkinson???s disease rating scale (UPDRS) scores;
Journal_Title :
Internet of Things Journal, IEEE
DOI :
10.1109/JIOT.2015.2390075
