Repository logo
 
Publication

Review of intelligent sensor-based systems for pressure ulcer prevention.

dc.contributor.authorSilva, Arlindo F.
dc.contributor.authorMetrôlho, J.C.M.M.
dc.contributor.authorRibeiro, Fernando Reinaldo
dc.contributor.authorFidalgo, Filipe
dc.contributor.authorSantos, Osvaldo
dc.contributor.authorDionísio, Rogério Pais
dc.date.accessioned2022-02-23T10:35:26Z
dc.date.available2022-02-23T10:35:26Z
dc.date.issued2021
dc.description.abstractPressure ulcers are a critical issue not only for patients, decreasing their quality of life, but also for healthcare professionals, contributing to burnout from continuous monitoring, with a consequent increase in healthcare costs. Due to the relevance of this problem, many hardware and software approaches have been proposed to ameliorate some aspects of pressure ulcer prevention and monitoring. In this article, we focus on reviewing solutions that use sensor-based data, possibly in combination with other intrinsic or extrinsic information, processed by some form of intelligent algorithm, to provide healthcare professionals with knowledge that improves the decision-making process when dealing with a patient at risk of developing pressure ulcers. We used a systematic approach to select 21 studies that were thoroughly reviewed and summarized, considering which sensors and algorithms were used, the most relevant data features, the recommendations provided, and the results obtained after deployment. This review allowed us not only to describe the state of the art regarding the previous items, but also to identify the three main stages where intelligent algorithms can bring meaningful improvement to pressure ulcer prevention and mitigation. Finally, as a result of this review and following discussion, we drew guidelines for a general architecture of an intelligent pressure ulcer prevention system.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSILVA, A. [et al.] (2022) - Review of intelligent sensor-based systems for pressure ulcer prevention. Computers. DOI https://doi.org/10.3390/computers11010006pt_PT
dc.identifier.doi10.3390/computers11010006pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.11/7908
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationCENTRO-01- 0247-FEDER-070107pt_PT
dc.relation.publisherversionhttps://www.mdpi.com/2073-431X/11/1/6pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectartificial intelligence; sensor-based systems; literature review; machine learning; pressure injury prevention; pressure ulcers preventionpt_PT
dc.titleReview of intelligent sensor-based systems for pressure ulcer prevention.pt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue1pt_PT
oaire.citation.startPage6pt_PT
oaire.citation.titleComputerspt_PT
oaire.citation.volume11pt_PT
person.familyNameSilva
person.familyNameMetrôlho
person.familyNameReinaldo Silva Garcia Ribeiro
person.familyNameFidalgo
person.familyNameSantos
person.familyNamePAIS DIONÍSIO
person.givenNameArlindo
person.givenNameJosé Carlos
person.givenNameFernando
person.givenNameFilipe
person.givenNameOsvaldo
person.givenNameROGÉRIO
person.identifier2374225
person.identifier1688084
person.identifier30skvuAAAAAJ
person.identifier.ciencia-id541A-41FB-4DC3
person.identifier.ciencia-id4B17-3AF4-7DD4
person.identifier.ciencia-id7B1C-D761-291D
person.identifier.ciencia-idBC11-DFB7-A451
person.identifier.ciencia-id121D-8892-F723
person.identifier.ciencia-id2F1A-414F-368B
person.identifier.orcid0000-0002-0620-7518
person.identifier.orcid0000-0002-7327-2109
person.identifier.orcid0000-0002-1225-3844
person.identifier.orcid0000-0001-7326-9957
person.identifier.orcid0000-0003-0341-2839
person.identifier.orcid0000-0002-6810-2447
person.identifier.scopus-author-id56348667700
person.identifier.scopus-author-id6507997502
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication1c267362-2fdf-48b1-9675-2983db6f51b0
relation.isAuthorOfPublication195ac9ea-6661-4217-addf-ac4bc5225f90
relation.isAuthorOfPublication165761b1-f958-4c13-b53f-ef0a4dde1d97
relation.isAuthorOfPublication489eda06-3ade-4c15-a54e-fee91030518a
relation.isAuthorOfPublicationa7e25eb4-9ac1-4fcb-b64c-f67555a1397a
relation.isAuthorOfPublicationfa3cfc92-0ec0-412b-9441-d657fc131926
relation.isAuthorOfPublication.latestForDiscovery489eda06-3ade-4c15-a54e-fee91030518a

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
computers-11-00006.pdf
Size:
1.54 MB
Format:
Adobe Portable Document Format