Nonlinear chaotic component extraction for postural stability analysis

David Hewson; Hichem Snoussi; Jacques Duchêne

doi:10.1109/IEMBS.2009.5335020

Nonlinear chaotic component extraction for postural stability analysis

David Hewson
, Hichem Snoussi
, Jacques Duchêne

Institute of Health Research (IHR)

Université de technologie de Troyes

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

This paper proposes a nonlinear analysis of the human postural steadiness system. The analyzed signal is the displacement of the centre of pressure (COP) collected from a force plate used for measuring postural sway. Instead of analyzing the classical nonlinear parameters on the whole signal, the proposed method consists of analyzing the nonlinear dynamics of the intrinsic mode functions (IMF) of the COP signal. Based on the computation of the IMFs Lyapunov exponents, it is shown that pre-processing the COP signal with the Empirical Mode Decomposition allows an efficient extraction of its chaotic component.

Original language	English
Title of host publication	nan
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781424432967
DOIs	https://doi.org/10.1109/IEMBS.2009.5335020
Publication status	Published - 13 Nov 2009
Event	2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Minneapolis Duration: 3 Sept 2009 → 6 Sept 2009

Conference

Conference	2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
City	Minneapolis
Period	3/09/09 → 6/09/09
Other	2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (03/09/2009-06/09/2009, Minneapolis)

Keywords

Force
chaos theory
elderly
postural stability
stability analysis

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https://ieeexplore.ieee.org/document/5335020

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title = "Nonlinear chaotic component extraction for postural stability analysis",

abstract = "This paper proposes a nonlinear analysis of the human postural steadiness system. The analyzed signal is the displacement of the centre of pressure (COP) collected from a force plate used for measuring postural sway. Instead of analyzing the classical nonlinear parameters on the whole signal, the proposed method consists of analyzing the nonlinear dynamics of the intrinsic mode functions (IMF) of the COP signal. Based on the computation of the IMFs Lyapunov exponents, it is shown that pre-processing the COP signal with the Empirical Mode Decomposition allows an efficient extraction of its chaotic component.",

keywords = "Force, chaos theory, elderly, postural stability, stability analysis",

author = "David Hewson and Hichem Snoussi and Jacques Duch{\^e}ne",

year = "2009",

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day = "13",

doi = "10.1109/IEMBS.2009.5335020",

language = "English",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

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note = "2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society ; Conference date: 03-09-2009 Through 06-09-2009",

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TY - GEN

T1 - Nonlinear chaotic component extraction for postural stability analysis

AU - Hewson, David

AU - Snoussi, Hichem

AU - Duchêne, Jacques

PY - 2009/11/13

Y1 - 2009/11/13

N2 - This paper proposes a nonlinear analysis of the human postural steadiness system. The analyzed signal is the displacement of the centre of pressure (COP) collected from a force plate used for measuring postural sway. Instead of analyzing the classical nonlinear parameters on the whole signal, the proposed method consists of analyzing the nonlinear dynamics of the intrinsic mode functions (IMF) of the COP signal. Based on the computation of the IMFs Lyapunov exponents, it is shown that pre-processing the COP signal with the Empirical Mode Decomposition allows an efficient extraction of its chaotic component.

AB - This paper proposes a nonlinear analysis of the human postural steadiness system. The analyzed signal is the displacement of the centre of pressure (COP) collected from a force plate used for measuring postural sway. Instead of analyzing the classical nonlinear parameters on the whole signal, the proposed method consists of analyzing the nonlinear dynamics of the intrinsic mode functions (IMF) of the COP signal. Based on the computation of the IMFs Lyapunov exponents, it is shown that pre-processing the COP signal with the Empirical Mode Decomposition allows an efficient extraction of its chaotic component.

KW - Force

KW - chaos theory

KW - elderly

KW - postural stability

KW - stability analysis

U2 - 10.1109/IEMBS.2009.5335020

DO - 10.1109/IEMBS.2009.5335020

M3 - Conference contribution

BT - nan

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Y2 - 3 September 2009 through 6 September 2009

ER -

Nonlinear chaotic component extraction for postural stability analysis

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Keywords

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