Objective real-time assessment of walking and turning in elderly adults

Zoran Skrba, Brian O'Mullane, Barry R. Greene, Cliodhna Ni Scanaill, Chie Wei Fan, Aaron Quigley, Paddy Nixon

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

15 Citations (Scopus)

Abstract

Recent research suggests that falls are the most common cause of injury and disability in older persons. Invasive systems or body worn sensors can be employed in controlled clinical and laboratory settings to determine clinical measures of gait and stability. This study by contrast aims to explore how video technology, can be employed to unobtrusively determine the same measures. Data from 63 elderly subjects, recruited through a research clinic was analyzed. The derived parameters include: the walk time, the number of steps of the TUG test and stability out of the turn. The results show that video analysis can be used to automate current clinical measures of gait and stability as well as to inform future automated interventions.

Original languageEnglish
Title of host publicationEMBC: 2009 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-20
Place of PublicationNEW YORK
PublisherIEEE
Pages807-810
Number of pages4
ISBN (Print)978-1-4244-3295-0
Publication statusPublished - 2009

Keywords

  • OLDER-ADULTS
  • GO TEST
  • MOBILITY

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