Automatic UPDRS evaluation in the sit-to-stand task of parkinsonians: Kinematic analysis and comparative outlook on the leg agility task

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

Research output: Contribution to journalArticlepeer-review

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 bodyworn 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.

Original languageEnglish
Article number7091866
Pages (from-to)803-814
Number of pages12
JournalIEEE Journal of Biomedical and Health Informatics
Volume19
Issue number3
DOIs
Publication statusPublished - May 1 2015

Keywords

  • Inertial sensors
  • Leg agility (LA)
  • Parkinson's disease (PD)
  • Sit-to-stand (S2S)
  • Unified Parkinson's disease rating scale (UPDRS) scores

ASJC Scopus subject areas

  • Biotechnology
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Health Information Management
  • Medicine(all)

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