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Postural time-series analysis of elderly and control subjects using entropy

  • Hassan Amoud
    ,
  • Madhur Agrawal
    ,
  • Uday Bandaru
    ,
  • ,
  • Michel Doussot
    ,
  • Jacques Duchêne
  • Université de technologie de Troyes
    ,
  • Indian Institute of Technology Kanpur
    ,
  • Indian Institute of Technology Guwahati
Research Output:
Contribution to journal
Article
Peer-review

Abstract

The present paper applies two methods commonly used to calculate entropy to postural time-series data of elderly and control subjects. Approximate entropy provided a biased estimate of regularity for small window lengths. In contrast, sample entropy was able to identify postural differences between elderly and control subjects. Elderly subjects showed less regularity in terms of anteroposterior displacement than did control subjects. However, the observed values of entropy were very small, as were the significant differences observed. Additional work is required to address concerns related to the time series length and the method used to calculate entropy.

Publication Information

Output type

Research Output:
Contribution to journal
Article
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 213-218

Journal (Volume, Issue Number)

IFAC Proceedings Volumes (Volume 39, Issue 18)

Publication milestones

  • Published - 2006

Publication status

Published - 2006

ISSN

1474-6670

Publication IDs

  • ORCID: /0000-0002-7656-4000/work/24193642
  • Scopus: 79961145734