Publication
Smart textiles for health monitoring in industrial environments: a framework for wearable sensor integration
datacite.subject.fos | Engenharia e Tecnologia | |
datacite.subject.sdg | 03:Saúde de Qualidade | |
datacite.subject.sdg | 09:Indústria, Inovação e Infraestruturas | |
dc.contributor.author | Vilarinho, Bruna Abreu | |
dc.contributor.author | Vieira, Andre | |
dc.contributor.author | Nunes-Pereira, João | |
dc.contributor.author | Parente, João | |
dc.contributor.author | Pires, Ivan Miguel Serrano | |
dc.contributor.author | Velez, Fernando J. | |
dc.date.accessioned | 2025-08-26T16:11:00Z | |
dc.date.available | 2025-08-26T16:11:00Z | |
dc.date.issued | 2025-07-24 | |
dc.description.abstract | The occupational health and safety of workers in industrial plants are increasingly compromised through exposure to thermal, physical, and psychological stressors. Wearable sensors embedded in garments have been introduced as a promising technology for real-time, continuous health monitoring without compromising workers' mobility or comfort. This paper reviews recent literature on wearable sensor technologies embedded in textiles, with a focus on their applicability in industrial settings. The paper identifies the key physiological parameters commonly monitored (e.g., heart rate, skin temperature, respiratory rate, and skin conductance), the materials and sensor types used, as well as the methods of integration into garments. Based on the findings, a conceptual model for a smart textile monitoring system tailored to industrial workers is proposed. The aim is to support the development of ergonomic, accessible, unobtrusive, and effective solutions that promote occupational health and prevent work-related illnesses. | por |
dc.description.sponsorship | __ FCT/MECI through national funds and, when applicable co-funded EU funds under UID/50008: Instituto de Telecomunicações __ This research is also supported by COST CA20120 INTERACT - Intelligence-Enabling Radio Communications for Seamless Inclusive Interactions __ The Portuguese National Distributed Computing Infrastructure (INCD) through the FCT Advanced Computing Projects 2023.10865.CPCA.A1 and https://doi.org/10.54499/2023.10865.CPCA.A1 __ Centre for Mechanical and Aerospace Science and Technologies (CMAST-UBI), through the Project reference UIDB/00151/2020 (DOI: 10.54499/UIDB/00151/2020) and UIDP/00151/2020 (DOI: 10.54499/UIDP/00151/2020), funded by the Fundação para a Ciência e a Tecnologia, IP/MECI through national funds (PIDDAC) __ Grant UI/BD/151477/2021 (DOI: 10.54499/UI/BD/151477/2021) __ Stimulus of Scientific Employment, Individual Support contract 2022.05613.CEECIND (DOI: 10.54499/2022.05613.CEECIND/CP1746/CT0001) | |
dc.identifier.citation | Bruna Abreu Vilarinho, André Ferreira Costa Vieira, João Nunes-Pereira and João Miguel Nunes Parente, Ivan Miguel Pires and Fernando José Velez, “SMART TEXTILES FOR HEALTH MONITORING IN INDUSTRIAL ENVIRONMENTS: A FRAMEWORK FOR WEARABLE SENSOR INTEGRATION,” in Proc. of 17th International Conference on e-Health, in the framework of 19th Multi Conference on Computer Science and Information Systems - MCCSIS 2025, Lisbon, Portugal, 23-25 July 2025. | |
dc.identifier.uri | http://hdl.handle.net/10400.6/18929 | |
dc.language.iso | eng | |
dc.peerreviewed | yes | |
dc.publisher | MDPI | |
dc.relation | Instituto de Telecomunicações | |
dc.relation | Federated Learning;Cloud Computing;Healthcare Data Analysis;Smart Healthcare Applications | |
dc.relation | Centre for Mechanical and Aerospace Science and Technologies | |
dc.relation | EcoSensHeal: Self-sensing and self-healing composites for high responsibility applications based on recycled materials | |
dc.rights.uri | http://creativecommons.org/licenses/by-nd/4.0/ | |
dc.subject | Wearable sensors | |
dc.subject | Smart textiles | |
dc.subject | Physiological monitoring | |
dc.subject | Industrial environments | |
dc.subject | Stress detection | |
dc.subject | Respiratory monitoring | |
dc.title | Smart textiles for health monitoring in industrial environments: a framework for wearable sensor integration | por |
dc.type | text | |
dspace.entity.type | Publication | |
oaire.awardTitle | Instituto de Telecomunicações | |
oaire.awardTitle | Federated Learning;Cloud Computing;Healthcare Data Analysis;Smart Healthcare Applications | |
oaire.awardTitle | Centre for Mechanical and Aerospace Science and Technologies | |
oaire.awardTitle | EcoSensHeal: Self-sensing and self-healing composites for high responsibility applications based on recycled materials | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FEEA%2F50008%2F2013/PT | |
oaire.awardURI | http://hdl.handle.net/10400.6/18928 | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00151%2F2020/PT | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/CEEC IND5ed/2022.05613.CEECIND%2FCP1746%2FCT0001/PT | |
oaire.citation.title | 17th International Conference on e-Health, in the framework of 19th Multi Conference on Computer Science and Information Systems - MCCSIS 2025 | |
oaire.fundingStream | 6817 - DCRRNI ID | |
oaire.fundingStream | FCT_CPCA_2023_01 | |
oaire.fundingStream | 6817 - DCRRNI ID | |
oaire.fundingStream | CEEC IND5ed | |
oaire.version | http://purl.org/coar/version/c_ab4af688f83e57aa | |
person.familyName | Vieira | |
person.familyName | Nunes-Pereira | |
person.familyName | Parente | |
person.familyName | Pires | |
person.familyName | Velez | |
person.givenName | Andre | |
person.givenName | João | |
person.givenName | João | |
person.givenName | Ivan Miguel Serrano | |
person.givenName | Fernando J. | |
person.identifier | -6iey0oAAAAJ | |
person.identifier.ciencia-id | 701E-2169-32DD | |
person.identifier.ciencia-id | 6D16-6F7E-64F0 | |
person.identifier.ciencia-id | D510-41BE-75BF | |
person.identifier.ciencia-id | 211D-8B3D-0131 | |
person.identifier.ciencia-id | 1510-E247-C9DB | |
person.identifier.orcid | 0000-0002-6165-8899 | |
person.identifier.orcid | 0000-0002-6024-8716 | |
person.identifier.orcid | 0000-0002-4875-5838 | |
person.identifier.orcid | 0000-0002-3394-6762 | |
person.identifier.orcid | 0000-0001-9680-123X | |
person.identifier.rid | B-7337-2013 | |
person.identifier.rid | AAD-6349-2020 | |
person.identifier.scopus-author-id | 24759546200 | |
person.identifier.scopus-author-id | 57200519831 | |
person.identifier.scopus-author-id | 57211944468 | |
person.identifier.scopus-author-id | 56715367700 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
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