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Check your biosignals here: a new dataset for off-person ECG biometrics

2014-02Journal article Open access
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dc.contributor.authorSilva, Hugo Plácido da
dc.contributor.authorLourenço, André Ribeiro
dc.contributor.authorFred, Ana Luísa Nobre
dc.contributor.authorRaposo, Nuno
dc.contributor.authorAires-de-Sousa, Marta
dc.date.accessioned2015-08-17T16:42:29Z
dc.date.available2015-08-17T16:42:29Z
dc.date.issued2014-02
dc.description.abstractThe Check Your Biosignals Here initiative (CYBHi) was developed as a way of creating a dataset and consistently repeatable acquisition framework, to further extend research in electrocardiographic (ECG) biometrics. In particular, our work targets the novel trend towards off-the-person data acquisition, which opens a broad new set of challenges and opportunities both for research and industry. While datasets with ECG signals collected using medical grade equipment at the chest can be easily found, for off-the-person ECG data the solution is generally for each team to collect their own corpus at considerable expense of resources. In this paper we describe the context, experimental considerations, methods, and preliminary findings of two public datasets created by our team, one for short-term and another for long-term assessment, with ECG data collected at the hand palms and fingers. (C) 2013 Elsevier Ireland Ltd. All rights reserved.por
dc.identifier.doi10.1016/j.cmpb.2013.11.017
dc.identifier.issn0169-2607
dc.identifier.issn1872-7565
dc.identifier.urihttp://hdl.handle.net/10400.21/4791
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherElsevier Ireland LTDpor
dc.relationSFRH/PROTEC/49512/2009
dc.relationLearning from Sequences (LearningS)
dc.relationMODELAÇÃO MULTI-MODAL DA COGNIÇÃO E EMOÇÃO
dc.relation.publisherversionhttp://www.sciencedirect.com/science/article/pii/S0169260713003891#
dc.subjectBiometricspor
dc.subjectElectrocardiographypor
dc.subjectOff-the-Personpor
dc.subjectDatasetpor
dc.titleCheck your biosignals here: a new dataset for off-person ECG biometricspor
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleLearning from Sequences (LearningS)
oaire.awardTitleMODELAÇÃO MULTI-MODAL DA COGNIÇÃO E EMOÇÃO
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FEEI-SII%2F2312%2F2012/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/FARH/SFRH%2FBD%2F65248%2F2009/PT
oaire.citation.conferencePlaceClarepor
oaire.citation.endPage514por
oaire.citation.issue2por
oaire.citation.startPage503por
oaire.citation.titleComputer Methods and Programs in Biomedicinepor
oaire.citation.volume113por
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.isProjectOfPublication48934697-f0f8-4b61-930b-e6ee339e6396
relation.isProjectOfPublication943715af-a8d5-4cc4-99f9-660ad2877407
relation.isProjectOfPublication.latestForDiscovery943715af-a8d5-4cc4-99f9-660ad2877407

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