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BIT: Biosignal Igniter Toolkit

dc.contributor.authorSilva, Hugo Plácido da
dc.contributor.authorLourenço, André Ribeiro
dc.contributor.authorFred, Ana
dc.contributor.authorMartins, Raúl
dc.date.accessioned2014-06-25T14:24:44Z
dc.date.available2014-06-25T14:24:44Z
dc.date.issued2014-06
dc.description.abstractThe study of biosignals has had a transforming role in multiple aspects of our society, which go well beyond the health sciences domains to which they were traditionally associated with. While biomedical engineering is a classical discipline where the topic is amply covered, today biosignals are a matter of interest for students, researchers and hobbyists in areas including computer science, informatics, electrical engineering, among others. Regardless of the context, the use of biosignals in experimental activities and practical projects is heavily bounded by the cost, and limited access to adequate support materials. In this paper we present an accessible, albeit versatile toolkit, composed of low-cost hardware and software, which was created to reinforce the engagement of different people in the field of biosignals. The hardware consists of a modular wireless biosignal acquisition system that can be used to support classroom activities, interface with other devices, or perform rapid prototyping of end-user applications. The software comprehends a set of programming APIs, a biosignal processing toolbox, and a framework for real time data acquisition and postprocessing. (C) 2014 Elsevier Ireland Ltd. All rights reserved.por
dc.description.sponsorshipFundação para a Ciência e Tecnologia (FCT) PTDC/EEI-SII/2312/2012 SFRH/BD/65248/2009 SFRH/PROTEC/49512/2009por
dc.identifier.citationSILVA, Hugo Plácido da; [et al] – BIT: Biosignal igniter toolkit. Computer Methods and Programs in Biomedicine. ISSN: 0169-2607. Vol. 115, nr. 1 (2014) p. 20-32.por
dc.identifier.issn0169-2607
dc.identifier.issn1872-7565
dc.identifier.other10.1016/j.cmpb.2014.03.002
dc.identifier.urihttp://hdl.handle.net/10400.21/3669
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/S0169260714000984#por
dc.subjectBiosignalspor
dc.subjectInstrumentationpor
dc.subjectSignal processingpor
dc.subjectRapid prototypingpor
dc.subjectPervasive computingpor
dc.titleBIT: Biosignal Igniter Toolkitpor
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.endPage32por
oaire.citation.issue1por
oaire.citation.startPage20por
oaire.citation.titleComputer Methods and Programs in Biomedicinepor
oaire.citation.volume115por
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.rightsrestrictedAccesspor
rcaap.typearticlepor
relation.isProjectOfPublication48934697-f0f8-4b61-930b-e6ee339e6396
relation.isProjectOfPublication943715af-a8d5-4cc4-99f9-660ad2877407
relation.isProjectOfPublication.latestForDiscovery48934697-f0f8-4b61-930b-e6ee339e6396

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