Wearable solutions using physiological signals for stress monitoring on individuals with Autism Spectrum Disorder (ASD): A systematic literature review

dc.contributor.authorCano, Sandra
dc.contributor.authorCubillos, Claudio
dc.contributor.authorAlfaro, Rodrigo
dc.contributor.authorRomo, Andrés
dc.contributor.authorGarcía, Matías
dc.contributor.authorMoreira, Fernando
dc.date.accessioned2025-03-20T14:46:00Z
dc.date.available2025-03-20T14:46:00Z
dc.date.issued2024-12-20
dc.description.abstractSome previous studies have focused on using physiological signals to detect stress in individuals with ASD through wearable devices, yet few have focused on how to design such solutions. Wearable technology may be a valuable tool to aid parents and caregivers in monitoring the emotional states of individuals with ASD who are at high risk of experiencing very stressful situations. However, effective wearable devices for individuals with ASD may need to differ from solutions for those without ASD. People with ASD often have sensory sensitivity and may, therefore, not tolerate certain types of accessories and experience discomfort when using them. We used the Scopus, PubMed, WoS, and IEEE-Xplore databases to search for studies published from 2014 to 2024 to answer four research questions related to wearable solutions for individuals with ASD, physiological parameters, and techniques/processes used for stress detection. Our review found 31 articles; not all studies considered individuals with ASD, and some were beyond the scope of this review. Most of the studies reviewed are based on cardiac activity for stress monitoring using photoplethysmography (PPG) and electrocardiography (ECG). However, limitations include small sample sizes, variability in study conditions, and the need for customization in stress detection algorithms. In addition, there is a need to customize the stress threshold due to the device’s high individual variability and sensitivity. The potential of wearable solutions for stress monitoring in ASD is evident, but challenges include the need for user-friendly and unobtrusive designs and integrating these technologies into comprehensive care plans.
dc.identifier.citationCano, S., Cubillos, C., Alfaro, R., Romo, A., García, M., & Moreira, F. (2024). Wearable solutions using physiological signals for stress monitoring on individuals with Autism Spectrum Disorder (ASD): A systematic literature review. Sensors, 24(24), 8137, 1-26. https://doi.org/10.3390/s24248137. Repositório Institucional UPT. https://hdl.handle.net/11328/6211
dc.identifier.issn1424-8220
dc.identifier.urihttps://hdl.handle.net/11328/6211
dc.language.isoeng
dc.publisherMDPI - Multidisciplinary Digital Publishing Institute
dc.relation.hasversionhttps://doi.org/10.3390/s24248137
dc.rightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectStress detection
dc.subjectemotion detection
dc.subjectwearable technology
dc.subjectautism spectrum disorder
dc.subjectphysiological signals
dc.subjectbiomedical sensors
dc.subject.fosCiências Naturais - Ciências da Computação e da Informação
dc.titleWearable solutions using physiological signals for stress monitoring on individuals with Autism Spectrum Disorder (ASD): A systematic literature review
dc.typejournal article
dcterms.referenceshttps://www.mdpi.com/1424-8220/24/24/8137
dspace.entity.typePublication
oaire.citation.endPage26
oaire.citation.issue24
oaire.citation.startPage1
oaire.citation.titleSensors
oaire.citation.volume24
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.affiliation.nameUniversidade Portucalense
person.familyNameMoreira
person.givenNameFernando
person.identifier.ciencia-id7B1C-3A29-9861
person.identifier.orcid0000-0002-0816-1445
person.identifier.ridP-9673-2016
person.identifier.scopus-author-id8649758400
relation.isAuthorOfPublicationbad3408c-ee33-431e-b9a6-cb778048975e
relation.isAuthorOfPublication.latestForDiscoverybad3408c-ee33-431e-b9a6-cb778048975e

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