A system for real-time feedback to improve gait and posture in Parkinson's disease

Jeremy Jellish, James Abbas, Todd M. Ingalls, Padma Mahant, Johan Samanta, Maria Cristina Ospina, Narayanan Krishnamurthi

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

For people with Parkinson's disease (PD), gait and postural impairments can significantly affect their ability to perform activities of daily living. Presentation of appropriate cues has been shown to improve gait in PD. Based on this, a treadmill-based system and experimental paradigm were developed to determine if people with PD can utilize real-time feedback (RTFB) of step length or back angle (uprightness) to improve gait and posture. Eleven subjects (mean age 67 ± 8 years) with mild-to-moderate PD (Hoehn and Yahr stage I-III) were evaluated regarding their ability to successfully utilize RTFB of back angle or step length during quiet standing and treadmill walking tasks during a single session in their medication-on state. Changes in back angle and step length due to feedback were compared using Friedman nonparametric tests withWilcoxon Signed-Rank tests for post-hoc comparisons. Improvements in uprightness were observed as an increase in back angle during quiet standing (p = 0.005) and during treadmill walking (p = 0.005) with back angle feedback when compared to corresponding taskswithout feedback. Improvements in gait were also observed as an increase in step length (p = 0.005) during step length feedback compared to tasks without feedback. These results indicate that people with mild-to-moderate PD can utilize RTFB to improve upright posture and gait. Future work will investigate the long-term effects of this RTFB paradigm and the development of systems for clinical or home-based use.

Original languageEnglish (US)
Article number7222381
Pages (from-to)1809-1819
Number of pages11
JournalIEEE Journal of Biomedical and Health Informatics
Volume19
Issue number6
DOIs
StatePublished - Nov 1 2015

Keywords

  • Cues
  • Gait
  • Parkinson's disease (PD)
  • Posture
  • Real-time feedback (RTFB)

ASJC Scopus subject areas

  • Biotechnology
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Health Information Management

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