Evidence map›Paper›PMID 39881836›Full record

ArticleSovremennye tekhnologii v meditsine2024

Assessment of Accuracy of Spatial Object Localization by Means of Mono and Stereo Modes of Visual-to-Auditory Sensory Substitution in People with Visual Impairments (a Pilot Study).

A S Butorova, E A Koryukin, N M Khomenko, A P Sergeev

Abstract read
In one paragraph

Article in Sovremennye tekhnologii v meditsine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

4 authors.

A S ButorovaJunior Researcher; Institute of Industrial Ecology of the Ural Branch of the Russian Academy of Sciences, 20 S. Kovalevskoy St., Ekaterinburg, 620990, Russia.
E A KoryukinPhD Student; Ural Federal University named after the First President of Russia B.N. Yeltsin, 19 Mira St., Ekaterinburg, 620002, Russia; Research Assistant, Artificial Intelligence Laboratory; Ural Federal University named after the First President of Russia B.N. Yeltsin, 19 Mira St., Ekaterinburg, 620002, Russia.
N M KhomenkoStudent; Ural Federal University named after the First President of Russia B.N. Yeltsin, 19 Mira St., Ekaterinburg, 620002, Russia; Research Assistant, Artificial Intelligence Laboratory; Ural Federal University named after the First President of Russia B.N. Yeltsin, 19 Mira St., Ekaterinburg, 620002, Russia.
A P SergeevPhD, Leading Researcher; Institute of Industrial Ecology of the Ural Branch of the Russian Academy of Sciences, 20 S. Kovalevskoy St., Ekaterinburg, 620990, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Materials and Methods: A prototype of a visual-to-auditory sensory substitution device based on a video camera with two lenses was prepared. Software to convert the signal from a video camera into an audio signal in mono and stereo modes was developed.To assess the developed system, an experimental study with 30 blindfolded sighted participants was conducted. 15 persons were tested in mono mode, 15 - in stereo mode. All persons were trained to use the visual-to-auditory sensory substitution system. During the experiment, participants were to locate a white plastic cube with dimensions of 4×4×4 cm Results: To assess the accuracy of the cube localization, deviations along the Conclusion: Tests demonstrated that the accuracy of object localization in stereo mode can be improved by increasing the time for training the participants and by showing them more presentations. The results of the study can be used to develop assistive techniques for people with visual impairments, to manufacture medical equipment, and create brain-computer interfaces.

Indexed as

Vision DisordersAdultFemaleHumansMalePersons with Visual DisabilitiesPilot Projectssound representationvisual impairmentsvisual-to-auditory sensory substitution

Identifiers

PMID39881836
PMCPMC11773144

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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.