Evidence map›Paper›PMID 39452016›Full record

ArticleBrain sciences2024

Clinical Feasibility of Applying Immersive Virtual Reality during Robot-Assisted Gait Training for Individuals with Neurological Diseases: A Pilot Study.

Daniele Munari, Angela von Wartburg, Veronica G Garcia-Marti, Matjaž Zadravec, Zlatko Matjačić, Jan F Veneman

Abstract read
In one paragraph

Article in Brain sciences, 2024. 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
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.

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

6 authors.

Daniele MunariHocoma Medical GmbH, 8604 Volketswil, Switzerland.
Angela von WartburgHocoma Medical GmbH, 8604 Volketswil, Switzerland.
Veronica G Garcia-MartiHocoma Medical GmbH, 8604 Volketswil, Switzerland.
Matjaž ZadravecResearch and Development Unit, University Rehabilitation Institute Republic of Slovenia, 1000 Ljubljana, Slovenia.ORCID 0000-0003-2746-6890
Zlatko MatjačićResearch and Development Unit, University Rehabilitation Institute Republic of Slovenia, 1000 Ljubljana, Slovenia.
Jan F VenemanHocoma Medical GmbH, 8604 Volketswil, Switzerland.ORCID 0000-0002-6408-6558

Funding

DIGITAL INNOVATION HUBS IN HEALTHCARE ROBOTICS (DIH-HERO) 825003
6 · The paper itself

Abstract

backgroundImmersive virtual reality has the potential to motivate and challenge patients who need and want to relearn movements in the process of neurorehabilitation.

objectiveThe aim of this study was to evaluate the feasibility and user acceptance of an innovative immersive virtual reality system (head-mounted display) used in combination with robot-assisted gait training in subjects suffering from neurological diseases.

methodsFifteen participants suffering from cerebrovascular accident or spinal cord injury completed a single session of immersive virtual reality using a head-mounted display during a Lokomat

resultsThe results suggest that an immersive virtual reality system is feasible in terms of safety and tolerance. Furthermore, the very positive overall acceptance of the system suggests that it has the potential to be included in a robot-assisted gait training session using Lokomat

conclusionOverall, this study demonstrates that a fully immersive virtual reality system based on a head-mounted display is both feasible and well received by cerebrovascular accident and spinal cord injury patients and their therapists during robot-assisted gait training. This study suggests that such a virtual reality system could be a viable alternative to the screen-based training games currently used in neurorehabilitation. It may be especially suitable for enhancing patient motivation and adherence to training, particularly if the application is enjoyable and not mentally taxing.

Indexed as

medical roboticsmedical treatmentneurologyneurorehabilitationvirtual reality

Identifiers

PMID39452016
PMCPMC11506603

What OpenQuestion holds

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LicenceCC BY
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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.