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Assessing postural stability via the correlation patterns of vertical ground reaction force components

BACKGROUND: Many methods have been proposed to assess the stability of human postural balance by using a force plate. While most of these approaches characterize postural stability by extracting features from the trajectory of the center of pressure (COP), this work develops stability measures deriv...

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Autores principales: Hong, Chih-Yuan, Guo, Lan-Yuen, Song, Rong, Nagurka, Mark L., Sung, Jia-Li, Yen, Chen-Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4969977/
https://www.ncbi.nlm.nih.gov/pubmed/27485525
http://dx.doi.org/10.1186/s12938-016-0212-z
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author Hong, Chih-Yuan
Guo, Lan-Yuen
Song, Rong
Nagurka, Mark L.
Sung, Jia-Li
Yen, Chen-Wen
author_facet Hong, Chih-Yuan
Guo, Lan-Yuen
Song, Rong
Nagurka, Mark L.
Sung, Jia-Li
Yen, Chen-Wen
author_sort Hong, Chih-Yuan
collection PubMed
description BACKGROUND: Many methods have been proposed to assess the stability of human postural balance by using a force plate. While most of these approaches characterize postural stability by extracting features from the trajectory of the center of pressure (COP), this work develops stability measures derived from components of the ground reaction force (GRF). METHODS: In comparison with previous GRF-based approaches that extract stability features from the GRF resultant force, this study proposes three feature sets derived from the correlation patterns among the vertical GRF (VGRF) components. The first and second feature sets quantitatively assess the strength and changing speed of the correlation patterns, respectively. The third feature set is used to quantify the stabilizing effect of the GRF coordination patterns on the COP. RESULTS: In addition to experimentally demonstrating the reliability of the proposed features, the efficacy of the proposed features has also been tested by using them to classify two age groups (18–24 and 65–73 years) in quiet standing. The experimental results show that the proposed features are considerably more sensitive to aging than one of the most effective conventional COP features and two recently proposed COM features. CONCLUSIONS: By extracting information from the correlation patterns of the VGRF components, this study proposes three sets of features to assess human postural stability during quiet standing. As demonstrated by the experimental results, the proposed features are not only robust to inter-trial variability but also more accurate than the tested COP and COM features in classifying the older and younger age groups. An additional advantage of the proposed approach is that it reduces the force sensing requirement from 3D to 1D, substantially reducing the cost of the force plate measurement system.
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spelling pubmed-49699772016-08-03 Assessing postural stability via the correlation patterns of vertical ground reaction force components Hong, Chih-Yuan Guo, Lan-Yuen Song, Rong Nagurka, Mark L. Sung, Jia-Li Yen, Chen-Wen Biomed Eng Online Research BACKGROUND: Many methods have been proposed to assess the stability of human postural balance by using a force plate. While most of these approaches characterize postural stability by extracting features from the trajectory of the center of pressure (COP), this work develops stability measures derived from components of the ground reaction force (GRF). METHODS: In comparison with previous GRF-based approaches that extract stability features from the GRF resultant force, this study proposes three feature sets derived from the correlation patterns among the vertical GRF (VGRF) components. The first and second feature sets quantitatively assess the strength and changing speed of the correlation patterns, respectively. The third feature set is used to quantify the stabilizing effect of the GRF coordination patterns on the COP. RESULTS: In addition to experimentally demonstrating the reliability of the proposed features, the efficacy of the proposed features has also been tested by using them to classify two age groups (18–24 and 65–73 years) in quiet standing. The experimental results show that the proposed features are considerably more sensitive to aging than one of the most effective conventional COP features and two recently proposed COM features. CONCLUSIONS: By extracting information from the correlation patterns of the VGRF components, this study proposes three sets of features to assess human postural stability during quiet standing. As demonstrated by the experimental results, the proposed features are not only robust to inter-trial variability but also more accurate than the tested COP and COM features in classifying the older and younger age groups. An additional advantage of the proposed approach is that it reduces the force sensing requirement from 3D to 1D, substantially reducing the cost of the force plate measurement system. BioMed Central 2016-08-02 /pmc/articles/PMC4969977/ /pubmed/27485525 http://dx.doi.org/10.1186/s12938-016-0212-z Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Hong, Chih-Yuan
Guo, Lan-Yuen
Song, Rong
Nagurka, Mark L.
Sung, Jia-Li
Yen, Chen-Wen
Assessing postural stability via the correlation patterns of vertical ground reaction force components
title Assessing postural stability via the correlation patterns of vertical ground reaction force components
title_full Assessing postural stability via the correlation patterns of vertical ground reaction force components
title_fullStr Assessing postural stability via the correlation patterns of vertical ground reaction force components
title_full_unstemmed Assessing postural stability via the correlation patterns of vertical ground reaction force components
title_short Assessing postural stability via the correlation patterns of vertical ground reaction force components
title_sort assessing postural stability via the correlation patterns of vertical ground reaction force components
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4969977/
https://www.ncbi.nlm.nih.gov/pubmed/27485525
http://dx.doi.org/10.1186/s12938-016-0212-z
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