A 64-lead Body Surface Potential Mapping System

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dc.contributorSistema FMUSP-HC: Faculdade de Medicina da Universidade de São Paulo (FMUSP) e Hospital das Clínicas da FMUSP
dc.contributor.authorSALINET, Joao L.
dc.contributor.authorMARQUES, Victor G.
dc.contributor.authorMAZZETTO, Marcelo
dc.contributor.authorCAMARGO, Erick D. L. B.
dc.contributor.authorPASTORE, Carlos A.
dc.contributor.authorCESTARI, Idagene A.
dc.date.accessioned2019-01-29T17:13:20Z
dc.date.available2019-01-29T17:13:20Z
dc.date.issued2017
dc.description.abstractNon-invasive acquisition of the electrical heart activity through high density mapping might allow early diagnosis of heart diseases overcoming the limitations of the traditional ECG method. This study presents a BSPM system (hardware and platform) to allow users to analyze the characteristics of morphology in up to 64 simultaneous body surface potentials (BSPs) including the 12-lead ECG and vectocardiogram (VCG). The signals undergo a preprocessing step followed by the R peak detection using previously validated techniques for heart rate variability studies. In addition, embedded 3D isopotential, 3D isochrone maps and VCG planes allow researchers to investigate the heart's the electrical activity and its patterns under different heart rhythm disorders in clinical practice.eng
dc.description.conferencedateSEP 24-27, 2017
dc.description.conferencelocalRennes, FRANCE
dc.description.conferencename44th Computing in Cardiology Conference (CinC)
dc.description.indexPubMedeng
dc.description.sponsorshipSao Paulo Research Foundation (FAPESP) [2016/26240-6, 2017/11103-6]
dc.identifier.citation2017 COMPUTING IN CARDIOLOGY (CINC), 2017
dc.identifier.doi10.22489/CinC.2017.053-337
dc.identifier.issn0276-6574
dc.identifier.urihttps://observatorio.fm.usp.br/handle/OPI/30681
dc.language.isoeng
dc.publisherIEEE COMPUTER SOCeng
dc.relation.ispartof2017 Computing in Cardiology (cinc)
dc.relation.ispartofseriesComputing in Cardiology Series
dc.rightsrestrictedAccesseng
dc.rights.holderCopyright IEEE COMPUTER SOCeng
dc.subject.wosCardiac & Cardiovascular Systemseng
dc.subject.wosComputer Science, Interdisciplinary Applicationseng
dc.subject.wosEngineering, Biomedicaleng
dc.titleA 64-lead Body Surface Potential Mapping Systemeng
dc.typeconferenceObjecteng
dc.type.categoryproceedings papereng
dc.type.versionpublishedVersioneng
dspace.entity.typePublication
hcfmusp.author.externalSALINET, Joao L.:Fed Univ ABC, Sao Bernardo Do Campo, Brazil; Univ Sao Paulo, Heart Inst InCor, Sao Paulo, Brazil
hcfmusp.author.externalMARQUES, Victor G.:Fed Univ ABC, Sao Bernardo Do Campo, Brazil; Univ Sao Paulo, Heart Inst InCor, Sao Paulo, Brazil
hcfmusp.author.externalCAMARGO, Erick D. L. B.:Fed Univ ABC, Sao Bernardo Do Campo, Brazil
hcfmusp.citation.scopus7
hcfmusp.contributor.author-fmusphcMARCELO MAZZETTO
hcfmusp.contributor.author-fmusphcCARLOS ALBERTO PASTORE
hcfmusp.contributor.author-fmusphcIDAGENE APARECIDA CESTARI
hcfmusp.origemWOS
hcfmusp.origem.scopus2-s2.0-85045095511
hcfmusp.origem.wosWOS:000450651100043
hcfmusp.publisher.cityLOS ALAMITOSeng
hcfmusp.publisher.countryUSAeng
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hcfmusp.scopus.lastupdate2024-06-09
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