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A distributed multiagent system architecture for body area networks applied to healthcare monitoring

2015-03Artigo científico Acesso aberto
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datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.fosCiências Médicas::Ciências da Saúde
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg10:Reduzir as Desigualdades
datacite.subject.sdg03:Saúde de Qualidade
dc.contributor.authorFelisberto, Filipe
dc.contributor.authorLaza, Rosalía
dc.contributor.authorFdez-Riverola, Florentino
dc.contributor.authorPereira, António
dc.date.accessioned2026-01-26T15:08:22Z
dc.date.available2026-01-26T15:08:22Z
dc.date.issued2015-03
dc.descriptionArticle number: 192454
dc.description.abstractIn the last years the area of health monitoring has grown significantly, attracting the attention of both academia and commercial sectors. At the same time, the availability of new biomedical sensors and suitable network protocols has led to the appearance of a new generation of wireless sensor networks, the so-called wireless body area networks. Nowadays, these networks are routinely used for continuous monitoring of vital parameters, movement, and the surrounding environment of people, but the large volume of data generated in different locations represents a major obstacle for the appropriate design, development, and deployment of more elaborated intelligent systems. In this context, we present an open and distributed architecture based on a multiagent system for recognizing human movements, identifying human postures, and detecting harmful activities. The proposed system evolved from a single node for fall detection to a multisensor hardware solution capable of identifying unhampered falls and analyzing the users’ movement. The experiments carried out contemplate two different scenarios and demonstrate the accuracy of our proposal as a real distributed movement monitoring and accident detection system. Moreover, we also characterize its performance, enabling future analyses and comparisons with similar approaches.eng
dc.description.sponsorshipAcknowledgments Filipe Felisberto thanks the Fundação para a Ciência e Tecnologia (FCT), Portugal, for the Research Grant SFRH/BD/89370/2012. This work was partially funded by (i) RICE (The Innovation Network of the Central Region, Portugal) project cofunded by Portuguese program MaisCentro (call SAICT), (ii) BodyNet-Body Area Networks for Elder’s support project funded by Polytechnic Institute of Leiria, (iii) CAR-Computer-Assisted Recovery, project funded by INOV INESC INOVACÃO-Institute for New Technologies, (iv) Agrupamento INBIOMED [2012/273] from DXPCTSUG-FEDER unha maneira de facer Europa, (v) the [14VI05] Contract-Programme from the University ofVigo, and(vi) theEuropeanUnionSeventhFramework Programme[FP7/REGPOT-2012-2013.1] under Grant Agreement no. 316265 BIOCAPS.
dc.identifier.citationFelisberto, Filipe & Laza, Rosal'ia & Fdez-Riverola, Florentino & Pereira, António. (2015). A Distributed Multiagent System Architecture for Body Area Networks Applied to Healthcare Monitoring. BioMed Research International. 2015. 10.1155/2015/192454.
dc.identifier.doi10.1155/2015/192454
dc.identifier.issn2314-6133
dc.identifier.issn2314-6141
dc.identifier.urihttp://hdl.handle.net/10400.8/15498
dc.language.isoeng
dc.peerreviewedyes
dc.publisherWiley
dc.relationDEVELOPMENT OF EVOLVING MOVEMENT PROFILES USING A BODY AREA NETWORK AND INTELLIGENT AGENTS
dc.relation.hasversionhttps://onlinelibrary.wiley.com/doi/10.1155/2015/192454
dc.relation.ispartofBioMed Research International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectMonitoring
dc.subjectPhysiologic
dc.subjectWireless Technology
dc.subjectHealthcare monitoring
dc.titleA distributed multiagent system architecture for body area networks applied to healthcare monitoringeng
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleDEVELOPMENT OF EVOLVING MOVEMENT PROFILES USING A BODY AREA NETWORK AND INTELLIGENT AGENTS
oaire.awardURIhttp://hdl.handle.net/10400.8/15495
oaire.citation.endPage17
oaire.citation.issue1
oaire.citation.titleBioMed Research International
oaire.citation.volume2015
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNamePereira
person.givenNameAntónio
person.identifier.ciencia-idE215-4F0F-33EC
person.identifier.orcid0000-0001-5062-1241
person.identifier.ridM-6163-2013
person.identifier.scopus-author-id7402230199
relation.isAuthorOfPublication6320b167-2323-4699-bf04-9288d3f603c0
relation.isAuthorOfPublication.latestForDiscovery6320b167-2323-4699-bf04-9288d3f603c0
relation.isProjectOfPublication10e21803-fd63-470b-88d1-10317f6d8ccd
relation.isProjectOfPublication.latestForDiscovery10e21803-fd63-470b-88d1-10317f6d8ccd

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