Evidence map›Paper›PMID 37531739›Full record

ArticleHuman movement science2023

Characterizing postural balance on 2-dimensional compliant surfaces with directional virtual time-to-contact.

Vu Phan, Soe Lin Paing, Hyunglae Lee

Open access · greenAbstract read
In one paragraph

Article in Human movement science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 80% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 1 institution in 1 country.

Vu PhanSchool for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ 85287, USA. Electronic address: vnphan@asu.edu.
Soe Lin PaingSchool for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ 85287, USA. Electronic address: spaing@asu.edu.
Hyunglae LeeSchool for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ 85287, USA. Electronic address: Hyunglae.Lee@asu.edu.
Arizona State University · US

Funding

SCH: Smart User-Effective Data-Enabled (SUEDE) Shoe for Ankle Injury PreventionR01AR080826 · NIAMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI LEE, HYUNGLAE · 2021 to 2024
$1.1M
NIAMS NIH HHS R01 AR080826
6 · The paper itself

Abstract

backgroundThis study aimed to (1) investigate postural balance control on 2-Dimensional (2D) compliant surfaces using directional virtual time-to-contact (d-VTC), a novel method for VTC calculation; and (2) compare d-VTC with conventional balance measures in this context.

methodsA dual-axis robotic platform was used to simulate 2D surfaces/grounds with varying compliance levels. Twenty healthy young adults stood on the platform with either open or closed eyes. Balance was evaluated using d-VTC in multiple aspects, including temporal (VTC mean), spatial (boundary contact - BC), and control aspects (switching rate - SR). Additionally, conventional balance measures, namely center-of-pressure (COP) area and COP root-mean-square (RMS), were employed for further comparisons with d-VTC measures. Normality checks were performed using Shapiro-Wilk tests. Two-way repeated measures ANOVA tests were used to examine the effects of surface compliance and vision on postural balance, followed by post-hoc pairwise comparisons across conditions with Bonferroni correction.

resultsThe results showed that increasing surface compliance and/or absence of vision caused a significant decrease in VTC mean (all p-values <0.001; all η

conclusionBalance control is compromised by 2D compliant surfaces, which is exacerbated when vision is absent. Among all balance measures, VTC mean measures demonstrated particularly high sensitivity in identifying decreased balance capabilities, while BC and SR provided new insights into fall risks and balance control mechanisms. These insights may facilitate the development of rehabilitation training or assistive devices for fall prevention.

Indexed as

PostureStanding PositionHumansPostural BalanceTime FactorsVision, OcularYoung AdultBalance controlDirectional virtual time-to-contactDual-axis robotic platformPostural balance

Identifiers

PMID37531739
PMCPMC10530255
OpenAlexW4385472766

What OpenQuestion holds

Textmetadata
LicenceTDM
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.