Evidence map›Paper›PMID 36422881›Full record

ArticleJMIR research protocols2022

A Telemedicine Platform for Aphasia: Protocol for a Development and Usability Study.

Monara Nunes, Ariel Soares Teles, Daniel Farias, Claudia Diniz, Victor Hugo Bastos, Silmar Teixeira

Open access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 43% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

6 authors at 2 institutions in 1 country.

Monara Nunes *Federal University of Piauí, Regeneração, Brazil.ORCID https://orcid.org/0000-0002-3938-2531
Ariel Soares Teles *Federal Institute of Maranhão, Parnaíba, Brazil.ORCID https://orcid.org/0000-0002-0840-3870
Daniel Farias *Federal University of Delta do Parnaíba, Parnaíba, Brazil.ORCID https://orcid.org/0000-0002-1742-5182
Claudia Diniz *Federal University of Delta do Parnaíba, Parnaíba, Brazil.ORCID https://orcid.org/0000-0002-5754-7627
Victor Hugo Bastos *Federal University of Delta do Parnaíba, Parnaíba, Brazil.ORCID https://orcid.org/0000-0001-7425-4730
Silmar Teixeira *Federal University of Delta do Parnaíba, Parnaíba, Brazil.ORCID https://orcid.org/0000-0002-9240-1228
Instituto Federal do Maranhão · BRUniversidade Federal do Piauí · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAphasia is a central disorder of comprehension and expression of language that cannot be attributed to a peripheral sensory deficit or a peripheral motor disorder. The diagnosis and treatment of aphasia are complex. Interventions that facilitate this process can lead to an increase in the number of assisted patients and greater precision in the therapeutic choice by the health professional.

objectiveThis paper describes a protocol for a study that aims to implement a computer-based solution (ie, a telemedicine platform) that uses deep learning to classify vocal data from participants with aphasia and to develop serious games to treat aphasia. Additionally, this study aims to evaluate the usability and user experience of the proposed solution.

methodsOur interactive and smart platform will be developed to provide an alternative option for professionals and their patients with aphasia. We will design 2 serious games for aphasia rehabilitation and a deep learning-driven computational solution to aid diagnosis. A pilot evaluation of usability and user experience will reveal user satisfaction with platform features.

resultsData collection began in June 2022 and is currently ongoing. Results of system development as well as usability should be published by mid-2023.

conclusionsThis research will contribute to the treatment and diagnosis of aphasia by developing a telemedicine platform based on a co-design process. Therefore, this research will provide an alternative method for health care to patients with aphasia. Additionally, it will guide further studies with the same purpose. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/40603.

Indexed as

aphasiadeep learningdiagnosislanguagemachine learningrehabilitationserious gamessmart platformtelemedicinetreatment

Identifiers

PMID36422881
PMCPMC9732749
OpenAlexW4310330208

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.