A 64-lead Body Surface Potential Mapping System

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Citações na Scopus
7
Tipo de produção
conferenceObject
Data de publicação
2017
Título da Revista
ISSN da Revista
Título do Volume
Editora
IEEE COMPUTER SOC
Autores
SALINET, Joao L.
MARQUES, Victor G.
CAMARGO, Erick D. L. B.
Citação
2017 COMPUTING IN CARDIOLOGY (CINC), 2017
Projetos de Pesquisa
Unidades Organizacionais
Fascículo
Resumo
Non-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.
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Referências
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