Evidence map›Paper›PMID 35162459›Full record

ArticleInternational journal of environmental research and public health2022

Design and Validation of Virtual Reality Task for Neuro-Rehabilitation of Distal Upper Extremities.

Debasish Nath, Neha Singh, Megha Saini, M V Padma Srivastava, Amit Mehndiratta

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. 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. Review
  3. Impact of Virtual Reality Cognitive and Motor Exercises on Brain Health.International journal of environmental research and public health · 2023
    Review
  4. Article
  5. 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

5 authors.

Debasish NathCentre for Biomedical Engineering, Indian Institute of Technology Delhi (IITD), New Delhi 110016, India.
Neha SinghCentre for Biomedical Engineering, Indian Institute of Technology Delhi (IITD), New Delhi 110016, India.
Megha SainiCentre for Biomedical Engineering, Indian Institute of Technology Delhi (IITD), New Delhi 110016, India.ORCID 0000-0002-4416-6737
M V Padma SrivastavaDepartment of Neurology, All India Institute of Medical Sciences (AIIMS), New Delhi 110029, India.
Amit MehndirattaCentre for Biomedical Engineering, Indian Institute of Technology Delhi (IITD), New Delhi 110016, India.ORCID 0000-0001-6477-2462

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stroke, affecting approximately 15 million people worldwide, has long been a global cause of death and disability. Virtual Reality (VR) has shown its potential as an assistive tool for post-stroke rehabilitation. The objective of this pilot study was to define the task-specific performance metrics of VR tasks to assess the performance level of healthy subjects and patients quantitatively and to obtain their feedback for improving the developed framework. A pilot prospective study was designed. We tested the designed VR tasks on forty healthy right-handed subjects to evaluate its potential. Qualitative trajectory plots and three quantitative performance metrics-time taken to complete the task, percentage relative error, and trajectory smoothness-were computed from the recorded data of forty healthy subjects. Two patients with stroke were also enrolled to compare their performance with healthy subjects. Each participant received one VR session of 90 min. No adverse effects were noticed throughout the study. Performance metrics obtained from healthy subjects were used as a reference for patients. Relatively higher values of task completion time and trajectory smoothness and lower values of relative % error was observed for the affected hands w.r.t the unaffected hands of both the patients. For the unaffected hands of both the patients, the performance levels were found objectively closer to that of healthy subjects. A library of VR tasks for wrist and fingers were designed, and task-specific performance metrics were defined in this study. The evaluation of the VR exercises using these performance metrics will help the clinicians to assess the patient's progress quantitatively and to design the rehabilitation framework for a future clinical study.

Indexed as

Stroke RehabilitationVirtual RealityHumansPilot ProjectsProspective StudiesRecovery of FunctionUpper Extremitydistal upper extremitiesneuro-rehabilitationperformance metricsstrokevirtual reality

Identifiers

PMID35162459
PMCPMC8835157

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Registered trials

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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.