Use of the gait profile score for the quantification of the effects of robot-assisted gait training in patients with Parkinson's disease

Manuela Galli, Ilaria Pacifici, Veronica Cimolin, Maria Francesca De Pandis, Alessandro Vagnini, Domenica Le Pera, Ivan Sova, Giorgio Albertini, Fabrizio Stocchi, Marco Franceschini

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The recovery of walking is a crucial aspect in rehabilitation of patients with Parkinson's disease (PD). The aim of this research was to quantify the effects of an end-effector robotic rehabilitation locomotion training in a group of PD patients using 3D gait analysis (GA). In particular, spatiotemporal parameters and kinematics variables by means of synthetic indexes (Gait Profile Score, GPS, and its Gait Variable Scores GVSs) were computed from GA at baseline, before the treatment (T0), and at the end of the rehabilitative program (T1). At T1 statistically significant improvements were found particularly in terms of spatio-temporal parameters (velocity, step length and cadence). No changes were observed as for GPS, while a trend towards improvement was found in terms of GVSs of pelvis and hip on the frontal plane. From these results, the use of Gait analysis has allowed to provide quantitative data about the end-effector robotic rehabilitation evidencing those joints more sensible to the treatment. The robotic locomotion training seems to improve gait pattern in patients with PD and in particular, the effect is on spatio-temporal parameters.

Original languageEnglish
Title of host publication2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow, RTSI 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509011315
DOIs
Publication statusPublished - Nov 9 2016
Event2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow, RTSI 2016 - Bologna, Italy
Duration: Sep 7 2016Sep 9 2016

Other

Other2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow, RTSI 2016
CountryItaly
CityBologna
Period9/7/169/9/16

Keywords

  • Gait Analysis
  • Gait Profile Score
  • Parkinson's disease
  • robotic rehabilitation

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Biomedical Engineering
  • Instrumentation
  • Computer Networks and Communications
  • Computer Science Applications
  • Human Factors and Ergonomics

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  • Cite this

    Galli, M., Pacifici, I., Cimolin, V., De Pandis, M. F., Vagnini, A., Le Pera, D., Sova, I., Albertini, G., Stocchi, F., & Franceschini, M. (2016). Use of the gait profile score for the quantification of the effects of robot-assisted gait training in patients with Parkinson's disease. In 2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow, RTSI 2016 [7740603] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RTSI.2016.7740603