Document Detail


Feature selection of stabilometric parameters based on principal component analysis.
MedLine Citation:
PMID:  14977225     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
This study addresses the challenge of identifying the features of the Centre of pressure (COP) trajectory that are most sensitive to postural performance, with the aim of avoiding redundancy and allowing a straightforward interpretation of the results. Postural sway in 50 young, healthy subjects was measured by a force platform. Thirty-seven stabilometric parameters were computed from the one-dimensional and two-dimensional COP time series. After normalisation to the relevant biomechanical factors, by means of multiple regression models, a feature selection process was performed based on principal component analysis. Results suggest that COP two-dimensional time series can be primarily characterised by four parameters, describing the size of the COP path over the support surface; the principal sway direction; and the shape and bandwidth of the power spectral density plot. COP one-dimensional time series (antero-posterior (AP) and medio-lateral (ML)) can be characterised by six parameters describing COP dispersion along the AP direction; mean velocity along the ML and AP directions; the contrast between ML and AP regulatory activity; and two parameters describing the spectral characteristics of the COP along the AP direction. On the basis of the results obtained, some guidelines are suggested for the choice of stabilometric parameters to use, with the aim of promoting standardisation in quantitative posturography.
Authors:
L Rocchi; L Chiari; A Cappello
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Medical & biological engineering & computing     Volume:  42     ISSN:  0140-0118     ISO Abbreviation:  Med Biol Eng Comput     Publication Date:  2004 Jan 
Date Detail:
Created Date:  2004-02-23     Completed Date:  2004-05-21     Revised Date:  2008-11-21    
Medline Journal Info:
Nlm Unique ID:  7704869     Medline TA:  Med Biol Eng Comput     Country:  England    
Other Details:
Languages:  eng     Pagination:  71-9     Citation Subset:  IM    
Affiliation:
Biomedical Engineering Unit, Department of Electronics, Computer Science & Systems, University of Bologna, Italy.
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MeSH Terms
Descriptor/Qualifier:
Adult
Biomechanics
Female
Humans
Male
Postural Balance / physiology*
Posture / physiology*
Principal Component Analysis
Regression Analysis

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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