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Analysis of center of pressure signals using empirical mode decomposition and Fourier-Bessel expansion

  • Ram Bilas Pachori
    ,
  • David Hewson
    ,
  • Hichem Snoussi
    ,
  • Jacques Duchêne
  • International Institute of Information Technology Hyderabad
    ,
  • Université de technologie de Troyes
Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
 Peer-review

Abstract

Center of pressure (COP) measurements are often used to identify balance problems. A new method for analysis of COP signals using empirical mode decomposition (EMD) and Fourier-Bessel (FB) expansion is proposed in this paper. The EMD decomposes a COP signal into a finite set of band-limited signals termed intrinsic mode functions (IMFs), before FB expansion is applied on each IMF to compute mean frequency. The FB expansion based representation is suitable for use in non-stationary and very short duration signals. Seventeen subjects were tested under eyes open (EO) and eyes closed (EC) conditions, with different vibration frequencies applied for EC condition to further perturb sensory information. Mean frequency as calculated by FB expansion for the first three IMFs was able to distinguish between EO and EC conditions (p < 0.05), while only first IMF was able to detect a vibration effect.

Publication Information

Output type

Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
 Peer-review

Original language

English

Publication milestones

  • Published - 31/12/2008

Publication status

Published - 31/12/2008

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

Publication IDs

  • handle.net: 10547/623492
  • Scopus: 63049090709

Host publication title

TENCON 2008 - 2008 IEEE Region 10 Conference

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