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Estatística
Título: PROCESSING OF BIOMAGNETIC SIGNALS MEASURED BY MULTICHANNEL SQUID SYSTEM
Autor(es): GUILHERME FERREIRA GUSMAO
Colaborador(es): CARLOS ROBERTO HALL BARBOSA - Orientador
Catalogação: 20/DEZ/2017 Língua(s): PORTUGUESE - BRAZIL
Tipo: TEXT Subtipo: SENIOR PROJECT
Notas: [pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio.
[en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio.
Referência(s): [pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/TFCs/consultas/conteudo.php?strSecao=resultado&nrSeq=32411@1
[en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/TFCs/consultas/conteudo.php?strSecao=resultado&nrSeq=32411@2
DOI: https://doi.org/10.17771/PUCRio.acad.32411
Resumo:
By using the high-resolution multichannel SQUID system of the University of Jena, Germany, cardiac magnetic field (MCG) measurements were performed in isolated rabbit heart samples. The MCG allows the noninvasive acquisition of information to which the ECG (electrocardiography) has no access, but which are fundamental for the determination of treatment strategies, such as the characterization of the direct currents (DC) resulting from myocardial ischemia; of electrophysiological changes of the His bundle; and the detection of myocardial fetal electrical activity. However, it was necessary to implement digital signal processing algorithms that allowed the analysis of the electrophysiological phenomena measured by the SQUID magnetometer. The MATLAB environment was the most suitable for the development of this project, having several libraries of numerical methods, besides allowing the implementation of graphical user interfaces. Thus, in this project, it was possible to create a graphical interface composed of 4 modules that allow the user to analyze and process cardiac biomagnetic signals captured by the used SQUID system, and also allows the user to visualize the development of the biomagnetic field over time and space and the current that created it.
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