Evidence map›Paper›PMID 31455355›Full record

ArticleBiomedical engineering online2019

Virtual reality-based balance training system augmented with operant conditioning paradigm.

Deepesh Kumar, Nirvik Sinha, Anirban Dutta, Uttama Lahiri

Open access · goldAbstract read
In one paragraph

Article in Biomedical engineering online, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.5field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 38 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

4 authors at 3 institutions in 3 countries.

Deepesh KumarIndian Institute of Technology Gandhinagar, Gandhinagar, India. deepeshkumar.durg@gmail.com.ORCID http://orcid.org/0000-0002-5572-3391
Nirvik SinhaIndian Institute of Technology Kharagpur, Kharagpur, India.
Anirban DuttaUniversity at Buffalo, Buffalo, NY, USA.
Uttama LahiriIndian Institute of Technology Gandhinagar, Gandhinagar, India.
Indian Institute of Technology Gandhinagar · INIndian Institute of Technology Kharagpur · INUniversity at Buffalo, State University of New York · US

Funding

DST-INRIA DST-INRIA-2013-06/ Post tele-neurorehabilitation-IIT Gandhinagar
6 · The paper itself

Abstract

backgroundStroke-related sensory and motor deficits often steal away the independent mobility and balance from stroke survivors. Often, this compels the stroke survivors to rely heavily on their non-paretic leg during weight shifting to execute activities of daily living (ADL), with reduced usage of the paretic leg. Increased reliance on non-paretic leg often leads to learned nonuse of the paretic leg. Therefore, it is necessary to measure the contribution of individual legs toward one's overall balance. In turn, techniques can be developed to condition the usage of both the legs during one's balance training, thereby encouraging the hemiplegic patients for increased use of their paretic leg. The aim of this study is to (1) develop a virtual reality (VR)-based balance training platform that can estimate the contribution of each leg during VR-based weight-shifting tasks in an individualized manner and (2) understand the implication of operant conditioning paradigm during balance training on the overall balance of hemiplegic stroke patients.

resultTwenty-nine hemiplegic patients participated in a single session of VR-based balance training. The participants maneuvered virtual objects in the virtual environment using two Wii Balance Boards that measured displacement in the center of pressure (CoP) due to each leg when one performed weight-shifting tasks. For operant conditioning, the weight distribution across both the legs was conditioned (during normal trial) to reward participants for increased usage of the paretic leg during the weight-shifting task. The participants were offered multiple levels of normal trials with intermediate catch trial (with equal weight distribution between both legs) in an individualized manner. The effect of operant conditioning during the normal trials was measured in the following catch trials. The participants showed significantly improved performance in the final catch trial compared to their initial catch trial task. Also, the enhancement in CoP displacement of the paretic leg was significant in the final catch trial compared to the initial catch trial.

conclusionThe developed system was able to encourage participants for improved usage of their paretic leg during weight-shifting tasks. Such an approach has the potential to address the issue of learned nonuse of the paretic leg in stroke patients.

Indexed as

Conditioning, OperantVirtual RealityActivities of Daily LivingAdolescentAdultAgedFemaleHemiplegiaHumansMaleMiddle AgedPostural BalanceBalance rehabilitationCenter of pressureOperant conditioningStrokeVirtual realityWii Balance Board

Identifiers

PMID31455355
PMCPMC6712808
OpenAlexW2970448371

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.