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A web-based platform for biosignal visualization and annotation

dc.contributor.authorLourenço, André Ribeiro
dc.contributor.authorSilva, Hugo Plácido da
dc.contributor.authorCarreiras, Carlos
dc.contributor.authorAlves, Ana Priscila
dc.contributor.authorFred, Ana Luísa Nobre
dc.date.accessioned2015-08-17T16:03:36Z
dc.date.available2015-08-17T16:03:36Z
dc.date.issued2014-05
dc.description.abstractWith the advent of wearable sensing and mobile technologies, biosignals have seen an increasingly growing number of application areas, leading to the collection of large volumes of data. One of the difficulties in dealing with these data sets, and in the development of automated machine learning systems which use them as input, is the lack of reliable ground truth information. In this paper we present a new web-based platform for visualization, retrieval and annotation of biosignals by non-technical users, aimed at improving the process of ground truth collection for biomedical applications. Moreover, a novel extendable and scalable data representation model and persistency framework is presented. The results of the experimental evaluation with possible users has further confirmed the potential of the presented framework.por
dc.identifier.citationLOURENÇO, André Ribeiro; [et al] – A web-based plataform biosignal visualization and annotation. Multimed Tools Applications. ISSN: 1380-7501. Vol. 70, nr. 1 (2014) p. 433-460.
dc.identifier.doi10.1007/s11042-013-1397-9
dc.identifier.issn1380-7501
dc.identifier.issn1573-7721
dc.identifier.urihttp://hdl.handle.net/10400.21/4785
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherSpringerpor
dc.relationSFRH/PROTEC/49512/2009
dc.relationEvidence Accumulation in Unsupervised and Semi-Supervised Learning: a Cluster Ensemble Approach
dc.relationMODELAÇÃO MULTI-MODAL DA COGNIÇÃO E EMOÇÃO
dc.subjectGround Truthpor
dc.subjectAnnotationpor
dc.subjectBiosignalspor
dc.subjectData Representationpor
dc.subjectMultimodalpor
dc.subjectMetadatapor
dc.titleA web-based platform for biosignal visualization and annotationpor
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleEvidence Accumulation in Unsupervised and Semi-Supervised Learning: a Cluster Ensemble Approach
oaire.awardTitleMODELAÇÃO MULTI-MODAL DA COGNIÇÃO E EMOÇÃO
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FEIA-CCO%2F103230%2F2008/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/FARH/SFRH%2FBD%2F65248%2F2009/PT
oaire.citation.conferencePlaceDordrechtpor
oaire.citation.endPage460por
oaire.citation.issue1por
oaire.citation.startPage433por
oaire.citation.titleMultimed Tools Applicationspor
oaire.citation.volume70por
oaire.fundingStream3599-PPCDT
oaire.fundingStreamFARH
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsclosedAccesspor
rcaap.typearticlepor
relation.isProjectOfPublicationd8d8e74d-7f35-4b8b-990f-fa7ad05fcbd2
relation.isProjectOfPublication943715af-a8d5-4cc4-99f9-660ad2877407
relation.isProjectOfPublication.latestForDiscoveryd8d8e74d-7f35-4b8b-990f-fa7ad05fcbd2

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