Evidence map›Paper›PMID 33603929›Full record

ArticleJournal of human kinetics2021

The Use of Frequency Analysis as a Complementary and Explanatory Element for Time Domain Analysis in Measurements of the Ability to Maintain Balance.

Jacek Jurkojć, Piotr Wodarski, Robert Michnik, Wojciech Marszałek, Kajetan J Słomka, Marek Gzik

Open access · diamondAbstract read
In one paragraph

Article in Journal of human kinetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
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 2 institutions in 1 country.

Jacek JurkojćDepartment of Biomechatronics, Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland.
Piotr WodarskiDepartment of Biomechatronics, Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland.
Robert MichnikDepartment of Biomechatronics, Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland.
Wojciech MarszałekInstitute of Sport Sciences, The Jerzy Kukuczka Academy of Physical Education, Katowice, Poland.
Kajetan J SłomkaInstitute of Sport Sciences, The Jerzy Kukuczka Academy of Physical Education, Katowice, Poland.
Marek GzikDepartment of Biomechatronics, Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland.
Silesian University of Technology · PLAkademii Wychowania Fizycznego im. Jerzego Kukuczki w Katowicach · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessment of human balance is one of the most common diagnostic tests, both in medical applications and during sports training. Many new methods of measuring are introduced in these studies; however, the analysis of results is still carried out mainly based on the values determined in the time domain - the average COP speed or the ellipse field of the prediction. The aim of the current work is to present the possibilities for the practical application of frequency analyses in assessment of the ability to maintain body balance as a method supplementing standard analyses. As part of the study, measurements of the ability to maintain balance in sensory conflict conditions introduced in the form of an oscillating, three-dimensional, virtual scenery were carried out. 27 healthy volunteers (13 women and 14 men) took part in the study. The three-dimensional scenery, presented by means of the Oculus system, oscillated in the sagittal plane with frequencies equal to 0.7 Hz and 1.4 Hz. The frequency value during the measurement was constant or changed in the middle of the test. Measurements were conducted on the FDM Zebris platform. The results were analyzed using developed coefficients determined on the basis of the Short-time Fourier transform (STFT). The use of frequency-domain analyses confirmed that in the COP movement, one can observe a cyclical component corresponding to following the scenery, as well as the appearance of other cyclical components whose observation is important in terms of assessing the ability to maintain balance. It has been shown that the changes in the average COP speed that occur during the measurement can result from changes related to the movement of following the scenery as well as additional body movements indicating a greater or lesser loss of balance. It has been shown that there are differences in the COP movement provoked by the movement of the surrounding scenery, which depend on the parameters of the introduced disturbances - something that can only be observed in results obtained in the frequency domain. The conducted research shows that in measurements involving the ability to maintain one's balance conducted in sensory conflict conditions, standard time-domain analyses should be supplemented with other types of data analysis, e.g. frequency domain analyses.

Indexed as

balancefrequency domain analysisvirtual reality

Identifiers

PMID33603929
PMCPMC7877278
OpenAlexW3131539703

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

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.