Evidence map›Paper›PMID 37629277›Full record

ReviewJournal of clinical medicine2023

Digital Alternative Communication for Individuals with Amyotrophic Lateral Sclerosis: What We Have.

Felipe Fernandes, Ingridy Barbalho, Arnaldo Bispo Júnior, Luca Alves, Danilo Nagem, Hertz Lins, Ernano Arrais Júnior, Karilany D Coutinho, Antônio H F Morais, João Paulo Q Santos and 6 more

Open access · goldAbstract readReview
In one paragraph

Review in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

2 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. 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

16 authors at 4 institutions in 3 countries.

Felipe FernandesLaboratory of Technological Innovation in Health (LAIS), Federal University of Rio Grande do Norte (UFRN), Natal 59010-090, Brazil.ORCID 0000-0003-0805-1796
Ingridy BarbalhoLaboratory of Technological Innovation in Health (LAIS), Federal University of Rio Grande do Norte (UFRN), Natal 59010-090, Brazil.ORCID 0000-0001-5696-4114
Arnaldo Bispo JúniorLaboratory of Technological Innovation in Health (LAIS), Federal University of Rio Grande do Norte (UFRN), Natal 59010-090, Brazil.ORCID 0009-0007-2889-6055
Luca AlvesLaboratory of Technological Innovation in Health (LAIS), Federal University of Rio Grande do Norte (UFRN), Natal 59010-090, Brazil.ORCID 0009-0000-8449-0024
Danilo NagemLaboratory of Technological Innovation in Health (LAIS), Federal University of Rio Grande do Norte (UFRN), Natal 59010-090, Brazil.ORCID 0000-0003-4828-1107
Hertz LinsLaboratory of Technological Innovation in Health (LAIS), Federal University of Rio Grande do Norte (UFRN), Natal 59010-090, Brazil.ORCID 0000-0003-1138-4276
Ernano Arrais JúniorLaboratory of Technological Innovation in Health (LAIS), Federal University of Rio Grande do Norte (UFRN), Natal 59010-090, Brazil.ORCID 0000-0002-5047-2052
Karilany D CoutinhoLaboratory of Technological Innovation in Health (LAIS), Federal University of Rio Grande do Norte (UFRN), Natal 59010-090, Brazil.ORCID 0000-0002-2051-8611
Antônio H F MoraisAdvanced Nucleus of Technological Innovation (NAVI), Federal Institute of Rio Grande do Norte (IFRN), Natal 59015-000, Brazil.ORCID 0000-0002-5921-6696
João Paulo Q SantosAdvanced Nucleus of Technological Innovation (NAVI), Federal Institute of Rio Grande do Norte (IFRN), Natal 59015-000, Brazil.ORCID 0000-0002-9130-7723
Guilherme Medeiros MachadoResearch Department, ECE-Engineering School, 75015 Paris, France.ORCID 0000-0001-5283-9228
Jorge HenriquesDepartment of Informatics Engineering, Center for Informatics and Systems of the University of Coimbra, Universidade de Coimbra, 3030-788 Coimbra, Portugal.ORCID 0000-0003-4622-474X
César TeixeiraDepartment of Informatics Engineering, Center for Informatics and Systems of the University of Coimbra, Universidade de Coimbra, 3030-788 Coimbra, Portugal.ORCID 0000-0001-9396-1211
Mário E T Dourado JúniorLaboratory of Technological Innovation in Health (LAIS), Federal University of Rio Grande do Norte (UFRN), Natal 59010-090, Brazil.ORCID 0000-0002-9462-2294
Ana R R LindquistLaboratory of Technological Innovation in Health (LAIS), Federal University of Rio Grande do Norte (UFRN), Natal 59010-090, Brazil.ORCID 0000-0001-9628-7891
Ricardo A M ValentimLaboratory of Technological Innovation in Health (LAIS), Federal University of Rio Grande do Norte (UFRN), Natal 59010-090, Brazil.ORCID 0000-0002-9216-8593
Universidade Federal do Rio Grande do Norte · BRInstituto Federal do Rio Grande do Norte · BRUniversity of Coimbra · PTÉcole Centrale d'Électronique · FR

Funding

Brazilian Ministry of Health 132/2018Norte-Grandense Foundation for Research and Culture and the Federal University of Rio Grande do Norte (FUNPEC) 132/2018
6 · The paper itself

Abstract

Amyotrophic Lateral Sclerosis is a disease that compromises the motor system and the functional abilities of the person in an irreversible way, causing the progressive loss of the ability to communicate. Tools based on Augmentative and Alternative Communication are essential for promoting autonomy and improving communication, life quality, and survival. This Systematic Literature Review aimed to provide evidence on eye-image-based Human-Computer Interaction approaches for the Augmentative and Alternative Communication of people with Amyotrophic Lateral Sclerosis. The Systematic Literature Review was conducted and guided following a protocol consisting of search questions, inclusion and exclusion criteria, and quality assessment, to select primary studies published between 2010 and 2021 in six repositories: Science Direct, Web of Science, Springer, IEEE Xplore, ACM Digital Library, and PubMed. After the screening, 25 primary studies were evaluated. These studies showcased four low-cost, non-invasive Human-Computer Interaction strategies employed for Augmentative and Alternative Communication in people with Amyotrophic Lateral Sclerosis. The strategies included Eye-Gaze, which featured in 36% of the studies; Eye-Blink and Eye-Tracking, each accounting for 28% of the approaches; and the Hybrid strategy, employed in 8% of the studies. For these approaches, several computational techniques were identified. For a better understanding, a workflow containing the development phases and the respective methods used by each strategy was generated. The results indicate the possibility and feasibility of developing Human-Computer Interaction resources based on eye images for Augmentative and Alternative Communication in a control group. The absence of experimental testing in people with Amyotrophic Lateral Sclerosis reiterates the challenges related to the scalability, efficiency, and usability of these technologies for people with the disease. Although challenges still exist, the findings represent important advances in the fields of health sciences and technology, promoting a promising future with possibilities for better life quality.

Indexed as

chronic neurological conditionscommunication assistancecomputer visionimage processingmachine learningneurodegenerative diseases

Identifiers

PMID37629277
PMCPMC10455505
OpenAlexW4385758576

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.