Evidence map›Paper›PMID 38894337›Full record

SynthesisSensors (Basel, Switzerland)2024

Technological Features of Immersive Virtual Reality Systems for Upper Limb Stroke Rehabilitation: A Systematic Review.

Chala Diriba Kenea, Teklu Gemechu Abessa, Dheeraj Lamba, Bruno Bonnechère

Registry-linked trialAbstract readSystematic Review
In one paragraph

Synthesis in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07412899 (AdaptRehab imVR), which is not on this map. Cited by 11 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 3 pooled it
–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.

NCT07412899 naenrolling by invitationnot on this mapstarted 2025, after this paper: background citation

AdaptRehab imVR: Exploring the Feasibility of imVR for Upper Limb Stroke Rehabilitation in Ethiopia

TypeinterventionalSponsorJimma UniversityRan2025 to 2026Enrolled18ConditionsStrokeArmsVirtual Reality Headset with immersive exercises.
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Pooled it
  4. Review
  5. Article
  6. Review
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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.

Chala Diriba KeneaDepartment of Information Science, Faculty of Computing and Informatics, Jimma Institute of Technology, Jimma University, Jimma P.O. Box 378, Oromia, Ethiopia.ORCID 0000-0003-1573-2928
Teklu Gemechu AbessaREVAL Rehabilitation Research Center, Technology-Supported and Data-Driven Rehabilitation, Data Science Institute, Faculty of Rehabilitation Sciences, University of Hasselt, 3590 Diepenbeek, Belgium.ORCID 0000-0002-1070-8243
Dheeraj LambaDepartment of Physiotherapy, Faculty of Medical Sciences, Institute of Health, Jimma University, Jimma P.O. Box 378, Oromia, Ethiopia.ORCID 0000-0002-7803-015X
Bruno BonnechèreREVAL Rehabilitation Research Center, Technology-Supported and Data-Driven Rehabilitation, Data Science Institute, Faculty of Rehabilitation Sciences, University of Hasselt, 3590 Diepenbeek, Belgium.ORCID 0000-0002-7729-4700

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stroke is the second most common cause of death worldwide, and it greatly impacts the quality of life for survivors by causing impairments in their upper limbs. Due to the difficulties in accessing rehabilitation services, immersive virtual reality (IVR) is an interesting approach to improve the availability of rehabilitation services. This systematic review evaluates the technological characteristics of IVR systems used in the rehabilitation of upper limb stroke patients. Twenty-five publications were included. Various technical aspects such as game engines, programming languages, headsets, platforms, game genres, and technical evaluation were extracted from these papers. Unity 3D and C# are the primary tools for creating IVR apps, while the Oculus Quest (Meta Platforms Technologies, Menlo Park, CA, USA) is the most often used headset. The majority of systems are created specifically for rehabilitation purposes rather than being readily available for purchase (i.e., commercial games). The analysis also highlights key areas for future research, such as game assessment, the combination of hardware and software, and the potential integration incorporation of biofeedback sensors. The study highlights the significance of technological progress in improving the effectiveness and user-friendliness of IVR. It calls for additional research to fully exploit IVR's potential in enhancing stroke rehabilitation results.

Indexed as

Stroke RehabilitationUpper ExtremityVirtual RealityHumansQuality of LifeStrokeVideo Gamesdevelopmentimmersive virtual realityrehabilitation technologystrokeupper extremitiesvalidation

Identifiers

PMID38894337
PMCPMC11175221

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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 Socratic graph.