Assigning UPDRS scores in the leg agility task of parkinsonians: Can it be done through BSN-based kinematic variables?

Matteo Giuberti, Gianluigi Ferrari, Laura Contin, Veronica Cimolin, Corrado Azzaro, Giovanni Albani, Alessandro Mauro

Research output: Contribution to journalArticle

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.

Original languageEnglish
Article number7004779
Pages (from-to)41-51
Number of pages11
JournalIEEE Internet of Things Journal
Volume2
Issue number1
DOIs
Publication statusPublished - Feb 1 2015

Keywords

  • Inertial sensors
  • Leg agility (LA)
  • Parkinson's disease (PD)
  • Unified Parkinson's disease rating scale (UPDRS) scores

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems
  • Signal Processing
  • Information Systems and Management

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