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

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

[1]  David J. Hewson,et al.  POSTURAL TIME-SERIES ANALYSIS OF ELDERLY AND CONTROL SUBJECTS USING ENTROPY , 2006 .

[2]  N. Huang,et al.  The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[3]  H. Kantz,et al.  Nonlinear time series analysis , 1997 .

[4]  S. Brauer,et al.  A prospective study of laboratory and clinical measures of postural stability to predict community-dwelling fallers. , 2000, The journals of gerontology. Series A, Biological sciences and medical sciences.

[5]  M. Tinetti,et al.  Risk factors for falls among elderly persons living in the community. , 1988, The New England journal of medicine.

[6]  F. Takens Detecting strange attractors in turbulence , 1981 .

[7]  U S Nayak,et al.  Balance in elderly patients: the "get-up and go" test. , 1986, Archives of physical medicine and rehabilitation.

[8]  P J Holliday,et al.  Clinical and laboratory measures of postural balance in an elderly population. , 1992, Archives of physical medicine and rehabilitation.