Evidence map›Paper›PMID 27485525›Full record

ArticleBiomedical engineering online2016

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

Chih-Yuan Hong, Lan-Yuen Guo, Rong Song, Mark L Nagurka, Jia-Li Sung, Chen-Wen Yen

Open access · goldAbstract read
In one paragraph

Article in Biomedical engineering online, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 25 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 3 countries.

Chih-Yuan HongDepartment of Mechanical and Electromechanical Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan.
Lan-Yuen GuoDepartment of Sports Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
Rong SongSchool of Engineering, Sun Yat-Sen University, Guangzhou, China.
Mark L NagurkaDepartment of Mechanical Engineering, Marquette University, Milwaukee, WI, USA.
Jia-Li SungDepartment of Mechanical and Electromechanical Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan.
Chen-Wen YenDepartment of Mechanical and Electromechanical Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan. cmurobot@gmail.com.ORCID http://orcid.org/0000-0002-4894-7055
National Sun Yat-sen University · TWKaohsiung Medical University · TWMarquette University · USSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany 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).

methodsIn 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.

resultsIn 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.

conclusionsBy 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.

Indexed as

Mechanical PhenomenaPostural BalanceAccidental FallsAdolescentAgedBiomechanical PhenomenaFemaleHumansMaleMiddle AgedPressureRiskYoung AdultForce plateGround reaction forcePostural balanceQuiet standing

Identifiers

PMID27485525
PMCPMC4969977
OpenAlexW2500216245

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.