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A novel elastic sensor sheet for pressure injury monitoring: design, integration, and performance analysis

dc.contributor.authorMohammad Amini, Mohammad
dc.contributor.authorDevin, Mohammad Ghassem Farajzadeh
dc.contributor.authorAlves, Paulo
dc.contributor.authorSheikholeslami, Davood Fanaei
dc.contributor.authorHariri, Fatemeh
dc.contributor.authorDionísio, Rogério Pais
dc.contributor.authorFaghihi, Mahdi
dc.contributor.authorRibeiro, Fernando Reinaldo
dc.contributor.authorMetrôlho, J.C.M.M.
dc.contributor.authorFonseca, Luís Filipe Rodrigues
dc.date.accessioned2023-09-11T15:34:19Z
dc.date.available2023-09-11T15:34:19Z
dc.date.issued2023
dc.description.abstractThis study presents the SENSOMATT sensor sheet, a novel, non-invasive pressure monitoring technology intended for placement beneath a mattress. The development and design process of the sheet, which includes a novel sensor arrangement, material selection, and incorporation of an elastic rubber sheet, is investigated in depth. Highlighted features include the ability to adjust to varied mattress sizes and the incorporation of AI technology for pressure mapping. A comparison with conventional piezoelectric contact sensor sheets demonstrates the better accuracy of the SENSOMATT sensor for monitoring pressures beneath a mattress. The report highlights the sensor network’s cost-effectiveness, durability, and enhanced data measurement, alongside the problems experienced in its design. Evaluations of performance under diverse settings contribute to a full understanding of its potential pressure injury prediction and patient care applications. Proposed future paths for the SENSOMATT sensor sheet include clinical validation, more cost and performance improvement, wireless connection possibilities, and improved long-term monitoring data analysis. The study concludes that the SENSOMATT sensor sheet has the potential to transform pressure injury prevention techniques in healthcare.pt_PT
dc.description.sponsorshipThis work was carried out under the SensoMatt project, grant agreement no. CENTRO-01-0247-FEDER-070107, co-financed by European Funds (FEDER) by CENTRO2020.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMOHAMMAD AMINI, Mohammad [et al.] (2023) - A novel elastic sensor sheet for pressure injury monitoring: design, integration, and performance analysis. Electronics. Vol. 12, n.º 17, 3655. DOI: 10.3390/electronics12173655pt_PT
dc.identifier.doi10.3390/electronics12173655pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.11/8638
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationSensoMatt - CENTRO-01-0247-FEDER-070107pt_PT
dc.relation.publisherversionhttps://www.mdpi.com/2079-9292/12/17/3655pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectElectronic designpt_PT
dc.subjectPressure measurementpt_PT
dc.subjectElastic sensorspt_PT
dc.subjectSensor sheetpt_PT
dc.subjectPressure injuriespt_PT
dc.titleA novel elastic sensor sheet for pressure injury monitoring: design, integration, and performance analysispt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue17pt_PT
oaire.citation.startPage3655pt_PT
oaire.citation.titleElectronicspt_PT
oaire.citation.volume12pt_PT
person.familyNamePAIS DIONÍSIO
person.familyNameReinaldo Silva Garcia Ribeiro
person.familyNameMetrôlho
person.givenNameROGÉRIO
person.givenNameFernando
person.givenNameJosé Carlos
person.identifier30skvuAAAAAJ
person.identifier1688084
person.identifier.ciencia-id2F1A-414F-368B
person.identifier.ciencia-id7B1C-D761-291D
person.identifier.ciencia-id4B17-3AF4-7DD4
person.identifier.orcid0000-0002-6810-2447
person.identifier.orcid0000-0002-1225-3844
person.identifier.orcid0000-0002-7327-2109
person.identifier.scopus-author-id6507997502
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationfa3cfc92-0ec0-412b-9441-d657fc131926
relation.isAuthorOfPublication165761b1-f958-4c13-b53f-ef0a4dde1d97
relation.isAuthorOfPublication195ac9ea-6661-4217-addf-ac4bc5225f90
relation.isAuthorOfPublication.latestForDiscovery195ac9ea-6661-4217-addf-ac4bc5225f90

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