Evidence map›Paper›PMID 27195465›Full record

ArticleJournal of healthcare engineering2016

Quantification of Trunk Postural Stability Using Convex Polyhedron of the Time-Series Accelerometer Data.

Roman Melecky, Vladimir Socha, Patrik Kutilek, Lenka Hanakova, Peter Takac, Jakub Schlenker, Zdenek Svoboda

Abstract read
In one paragraph

Article in Journal of healthcare engineering, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

7 authors.

Roman MeleckyFaculty of Biomedical Engineering, Czech Technical University in Prague, 272 01 Kladno, Czech Republic.
Vladimir SochaFaculty of Biomedical Engineering, Czech Technical University in Prague, 272 01 Kladno, Czech Republic.
Patrik KutilekFaculty of Biomedical Engineering, Czech Technical University in Prague, 272 01 Kladno, Czech Republic.
Lenka HanakovaFaculty of Biomedical Engineering, Czech Technical University in Prague, 272 01 Kladno, Czech Republic.
Peter TakacDepartment of Rehabilitation and Spa Medicine, Faculty of Medicine, P. J. Šafárik University in Košice, 040 01 Košice, Slovakia.
Jakub SchlenkerFaculty of Biomedical Engineering, Czech Technical University in Prague, 272 01 Kladno, Czech Republic.
Zdenek SvobodaPalacky University of Olomouc, Faculty of Physical Culture, 771 11 Olomouc, Czech Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Techniques to quantify postural stability usually rely on the evaluation of only two variables, that is, two coordinates of COP. However, by using three variables, that is, three components of acceleration vector, it is possible to describe human movement more precisely. For this purpose, a single three-axis accelerometer was used, making it possible to evaluate 3D movement by use of a novel method, convex polyhedron (CP), together with a traditional method, based on area of the confidence ellipse (ACE). Ten patients (Pts) with cerebellar ataxia and eleven healthy individuals of control group (CG) participated in the study. The results show a significant increase of volume of the CP (CPV) in Pts or CG standing on foam surface with eyes open (EO) and eyes closed (EC) after the EC phase. Significant difference between Pts and CG was found in all cases as well. Correlation coefficient indicates strong correlation between the CPV and ACE in most cases of patient examinations, thus confirming the possibility of quantification of postural instability by the introduced method of CPV.

Indexed as

AccelerometryAdultFemaleHumansMalePostural BalancePosture

Identifiers

PMID27195465
PMCPMC5058576

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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.