Measurement of stand-sit and sit-stand transitions using a miniature gyroscope and its application in fall risk evaluation in the elderly

Bijan Najafi, Kamiar Aminian, François Loew, Yves Blanc, Philippe A. Robert

Research output: Contribution to journalArticle

293 Scopus citations

Abstract

A new method of evaluating the characteristics of postural transition (PT) and their correlation with falling risk in elderly people is described. The time of sit-to-stand and stand-to-sit transitions and their duration were measured using a miniature gyroscope attached to the chest and a portable recorder placed on the waist. Based on a simple model and the discrete wavelet transform, three parameters related to the PT were measured, namely, the average and standard deviation of transition duration and the occurrence of abnormal successive transitions (number of attempts to have a successful transition). The comparison between two groups of elderly subjects (with high and low fall-risk) showed that the computed parameters were significantly correlated with the falling risk as determined by the record of falls during the previous year, balance and gait disorders (Tinetti score), visual disorders, and cognitive and depressive disorders (p < 0.01). In this study, the wavelet transform has provided a powerful technique for enhancing the pattern of PT, which was mainly concentrated into the frequency range of 0.04-0.68 Hz. The system is especially adapted for long-term ambulatory monitoring of elderly people.

Original languageEnglish (US)
Pages (from-to)843-851
Number of pages9
JournalIEEE Transactions on Biomedical Engineering
Volume49
Issue number8
DOIs
StatePublished - Jul 30 2002

Keywords

  • Ambulatory system
  • Fall risk assessment in elderly people
  • Gyroscope
  • Postural transition and successive transition
  • Wavelet transform

ASJC Scopus subject areas

  • Biomedical Engineering

Fingerprint Dive into the research topics of 'Measurement of stand-sit and sit-stand transitions using a miniature gyroscope and its application in fall risk evaluation in the elderly'. Together they form a unique fingerprint.

  • Cite this