• DocumentCode
    472014
  • Title

    Reconstructed Phase Spaces of Intrinsic Mode Functions. Application to Postural Stability Analysis

  • Author

    Snoussi, Hichem ; Amoud, Hassan ; Doussot, Michel ; Hewson, David ; Ene, Jacques Duch

  • Author_Institution
    FRE CNRS, Univ. of Technol. of Troyes
  • fYear
    2006
  • fDate
    Aug. 30 2006-Sept. 3 2006
  • Firstpage
    4584
  • Lastpage
    4589
  • Abstract
    In this contribution, we propose an efficient nonlinear analysis method characterizing postural steadiness. The analyzed signal is the displacement of the centre of pressure (COP) collected from a force plate used for measuring postural sway. The proposed method consists of analyzing the nonlinear dynamics of the intrinsic mode functions (IMF) of the COP signal. The nonlinear properties are assessed through the reconstructed phase spaces of the different IMFs. This study shows some specific geometries of the attractors of some intrinsic modes. Moreover, the volume spanned by the geometric attractors in the reconstructed phase space represents an efficient indicator of the postural stability of the subject. Experiments results corroborate the effectiveness of the method to blindly discriminate young subjects, elderly subjects and subjects presenting a risk of falling
  • Keywords
    biomechanics; biomedical measurement; geriatrics; mechanoception; signal reconstruction; centre-of-pressure; falling risk factor; force plate; geometric attractors; intrinsic mode functions; nonlinear analysis method; postural stability analysis; postural steadiness; postural sway measurement; reconstructed phase spaces; signal analysis; Data mining; Displacement measurement; Force measurement; Geometry; Pressure measurement; Senior citizens; Signal analysis; Space technology; Stability analysis; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
  • Conference_Location
    New York, NY
  • ISSN
    1557-170X
  • Print_ISBN
    1-4244-0032-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2006.259922
  • Filename
    4462823