Evidence map›Paper›PMID 37332868›Full record

ArticleFrontiers in neuroscience2023

Clinical assessment of the TechArm system on visually impaired and blind children during uni- and multi-sensory perception tasks.

Federica Morelli, Lucia Schiatti, Giulia Cappagli, Chiara Martolini, Monica Gori, Sabrina Signorini

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2023. 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
0.2field-weighted citation impact, top 53% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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 at 3 institutions in 2 countries.

Federica Morelli *Developmental Neuro-Ophthalmology Unit, IRCCS Mondino Foundation, Pavia, Italy.
Lucia Schiatti *Computer Science and Artificial Intelligence Lab and Center for Brains, Minds and Machines, Massachusetts Institute of Technology, Boston, MA, United States.
Giulia CappagliDevelopmental Neuro-Ophthalmology Unit, IRCCS Mondino Foundation, Pavia, Italy.
Chiara MartoliniDevelopmental Neuro-Ophthalmology Unit, IRCCS Mondino Foundation, Pavia, Italy.
Monica GoriUnit for Visually Impaired People, Istituto Italiano di Tecnologia, Genova, Italy.
Sabrina SignoriniDevelopmental Neuro-Ophthalmology Unit, IRCCS Mondino Foundation, Pavia, Italy.
Fondazione Istituto Neurologico Nazionale Casimiro Mondino · ITItalian Institute of Technology · ITMassachusetts Institute of Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We developed the TechArm system as a novel technological tool intended for visual rehabilitation settings. The system is designed to provide a quantitative assessment of the stage of development of perceptual and functional skills that are normally vision-dependent, and to be integrated in customized training protocols. Indeed, the system can provide uni- and multisensory stimulation, allowing visually impaired people to train their capability of correctly interpreting non-visual cues from the environment. Importantly, the TechArm is suitable to be used by very young children, when the rehabilitative potential is maximal. In the present work, we validated the TechArm system on a pediatric population of low-vision, blind, and sighted children. In particular, four TechArm units were used to deliver uni- (audio or tactile) or multi-sensory stimulation (audio-tactile) on the participant's arm, and subject was asked to evaluate the number of active units. Results showed no significant difference among groups (normal or impaired vision). Overall, we observed the best performance in tactile condition, while auditory accuracy was around chance level. Also, we found that the audio-tactile condition is better than the audio condition alone, suggesting that multisensory stimulation is beneficial when perceptual accuracy and precision are low. Interestingly, we observed that for low-vision children the accuracy in audio condition improved proportionally to the severity of the visual impairment. Our findings confirmed the TechArm system's effectiveness in assessing perceptual competencies in sighted and visually impaired children, and its potential to be used to develop personalized rehabilitation programs for people with visual and sensory impairments.

Indexed as

assistive technologiesdevelopmentmultisensoryrehabilitationvisual impairment

Identifiers

PMID37332868
PMCPMC10272406
OpenAlexW4379229970

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.