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Master's Dissertation
DOI
https://doi.org/10.11606/D.43.2006.tde-08062015-171406
Document
Author
Full name
Henrique Hamaguchi
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
São Paulo, 2006
Supervisor
Committee
Figueiredo, Júlio César Bastos de (President)
Diambra, Luis Anibal
Prado, Carmen Pimentel Cintra do
Title in Portuguese
Estudo de sinais de ECG utilizando métodos matemáticos para análise de sistemas dinâmicos não lineares
Keywords in Portuguese
Eletrocardiograma
Séries temporais
Sistemas dinâmicos
Abstract in Portuguese
Esta dissertação visa estudar a aplicabilidade e a importância prognóstica de métodos matemáticos não lineares no estudo das variações da freqüência cardíaca bem como no das mudanças morfológicas em sinais de eletrocardiograma. Apresentaremos uma revisão geral desse assunto focando em técnicas de análise não linear para o estudo de sinais de eletrocardiograma (ECG) visando construir uma base de conhecimentos que permita, no futuro, a abordagem de novos aspectos dessas metodologias. Como resultado do aprendizado, é gerado um programa que utiliza algumas das técnicas descritas ao longo da dissertação. Ao final da dissertação, abordaremos as vantagens e desvantagens dos métodos não lineares, concluindo que são ferramentas promissoras para a análise de sinais de ECG.
Title in English
Study of ECG signals using mathematical methods for analyzing nonlinear dynamical systems
Keywords in English
Dynamical systems
Electrocardiogram
Time series
Abstract in English
This dissertation presents a study about the applicability and the prognostic importance of nonlinear mathematical methods in the variations of heart frequency as well as in the morphological changes in the electrocardiogram signs. We will present a general revision of this subject focusing on application of nonlinear analysis for the study of electrocardiogram (ECG) signs in order to provide a base of knowledge that allows, in the future, the approach of new aspects of these methodologies. As a result this work, it was built a program that uses nonlinear analysis described along the dissertation. At the end of this document, we describe the advantages and disadvantages of the nonlinear methods, concluding that they are promising tools in the analysis of ECG signs.
 
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Hamagushi_2006.pdf (6.92 Mbytes)
Publishing Date
2015-06-10
 
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