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
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