Feature selection of stabilometric parameters based on principal component analysis.
Abstract
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.
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- Authors
- Rocchi, L., Chiari, L., & Cappello, A.
- Affiliations
- University of Bologna (IT)
- Corresponding author
- Chiari, L.
- Venue
- Medical & Biological Engineering & Computing
- Published
- 2004-01
- Volume
- 42
- Issue
- 1
- Pages
- 71-79
- ISSN
- 0140-0118 (ISSN-L)
- 1741-0444
- OpenAlex
- W2084868992
- Cited by
- 237
- References
- 38
- Citations by year
- 2026: 5 · 2025: 8 · 2024: 10 · 2023: 9 · 2022: 12 · 2021: 14 · 2020: 10 · 2019: 10 · 2018: 16 · 2017: 11 · 2016: 17 · 2015: 10 · 2014: 11 · 2013: 11 · 2012: 12
- FWCI
- 23.81
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Medical & Biological Engineering & Computing (publishedVersion)
- PubMed (publishedVersion)
- Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion)
- Topics
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Balance, Gait, and Falls Prevention
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Physical Sciences › Engineering › Biomedical Engineering › Lower Extremity Biomechanics and Pathologies
- Keywords
- postural sway, posturography, feature selection, principal component analysis, power spectral density, postural control, parameter redundancy
- MeSH terms
- Adult, Biomechanical Phenomena, Postural Balance, Female, Humans, Male, Posture, Regression Analysis, Principal Component Analysis
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