Evidence map›Paper›PMID 34779789›Full record

ArticleJMIR rehabilitation and assistive technologies2021

Investigating the Use of Virtual Reality Headsets for Postural Control Assessment: Instrument Validation Study.

Brian Sylcott, Chia-Cheng Lin, Keith Williams, Mark Hinderaker

Abstract read
In one paragraph

Article in JMIR rehabilitation and assistive technologies, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Chronic dizziness in older adults: Disrupted sensorimotor EEG beta oscillations during postural instability.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2025
    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

4 authors.

Brian SylcottDepartment of Engineering, East Carolina University, Greenville, NC, United States.ORCID https://orcid.org/0000-0002-4225-2105
Chia-Cheng LinDepartment of Physical Therapy, East Carolina University, Greenville, NC, United States.ORCID https://orcid.org/0000-0002-0973-8242
Keith WilliamsDepartment of Engineering, East Carolina University, Greenville, NC, United States.ORCID https://orcid.org/0000-0002-2376-0534
Mark HinderakerDepartment of Physical Therapy, East Carolina University, Greenville, NC, United States.ORCID https://orcid.org/0000-0003-1515-7812

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurately measuring postural sway is an important part of balance assessment and rehabilitation. Although force plates give accurate measurements, their costs and space requirements make their use impractical in many situations.

objectiveThe work presented in this paper aimed to address this issue by validating a virtual reality (VR) headset as a relatively low-cost alternative to force plates for postural sway measurement. The HTC Vive (HTC Corporation) VR headset has built-in sensors that allow for position and orientation tracking, making it a potentially effective tool for balance assessments.

methodsParticipants in this study were asked to stand upright on a force plate (NeuroCom; Natus Medical Incorporated) while wearing the HTC Vive. Position data were collected from the headset and force plate simultaneously as participants experienced a custom-built VR environment that covered their entire field of view. The intraclass correlation coefficient (ICC) was used to examine the test-retest reliability of the postural control variables, which included the normalized path length, root mean square (RMS), and peak-to-peak (P2P) value. These were computed from the VR position output data and the center of pressure (COP) data from the force plate. Linear regression was used to investigate the correlations between the VR and force plate measurements.

resultsOur results showed that the test-retest reliability of the RMS and P2P value of VR headset outputs (ICC: range 0.285-0.636) was similar to that of the RMS and P2P value of COP outputs (ICC: range 0.228-0.759). The linear regression between VR and COP measures showed significant correlations in RMSs and P2P values.

conclusionsBased on our results, the VR headset has the potential to be used for postural control measurements. However, the further development of software and testing protocols for balance assessments is needed.

Indexed as

center of pressureforce platepostural swayvirtual reality

Identifiers

PMID34779789
PMCPMC8663691

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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.