Deteccão de complexos QRS em eletrocardiogramas baseada na decomposição em valores singulares em multirresolução
Ano de defesa: | 2015 |
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Autor(a) principal: | |
Orientador(a): | |
Banca de defesa: | |
Tipo de documento: | Dissertação |
Tipo de acesso: | Acesso aberto |
Idioma: | por |
Instituição de defesa: |
Universidade Estadual Paulista (Unesp)
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Programa de Pós-Graduação: |
Não Informado pela instituição
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Departamento: |
Não Informado pela instituição
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País: |
Não Informado pela instituição
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Palavras-chave em Português: | |
Link de acesso: | http://hdl.handle.net/11449/134101 http://www.athena.biblioteca.unesp.br/exlibris/bd/cathedra/14-01-2016/000857500.pdf |
Resumo: | The electrocardiogram (ECG) is a test of utmost importance to evaluate the heart health of a person. The analysis of its layout enables diagnose a number of diseases and abnor- malities. For computer systems that need to segment the ECG signal, the first step the detection of QRS complexes. The earliest methods used filtering techniques and differen- tiation. Recently some researchers have designed methodologies based the multiresolution analysis the wavelet transform. Following similar path, this work proposes a methodology based on singular value decomposition in multiresolution (MRSVD), to solve the prob- lem of detection of QRS complexes of an ECG signal, which can be divided in four key stages: preprocessing, inspection, decision and correction. In of all, there are innovative proposals: in the first, it is used, in an unprecedented manner, the MRSVD; the second stage explores the physiological characteristics of the heart muscle, to make sure that a particular segment comprises or not a genuine R wave and, the last, corrects detections based on the amplitudes of the R wave. The evaluation of quality of detection for the experiments shows that the proposed algorithm has reached a predictive and sensitivity rates of of 99.20% and 99.70%, respectively, and error of only 1.10%, in comparation to another method which obtained 97, 10%, 99, 00% and 3, 70%, respectively |