Utilização das transformadas Wavelets na extração de características e no reconhecimento de padrão em um sinal de ECG

• Ano de defesa: 2006
• Autor(a) principal: Manzan, William Alexandre
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Uberlândia; BR; Programa de Pós-graduação em Ciência da Computação; Ciências Exatas e da Terra; UFU
• Palavras-chave em Português: Processamento de sinais; Wavelet; ECG; Reconhecimento de padrão; Redes de computação; Signal processing; Pattern recognition; CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
• Link de acesso: https://repositorio.ufu.br/handle/123456789/12553

Presently doctors and medical professionals are having the aid of support systems for diagnosis which include in their data base expertise knowledge, acquired mainly through empirical observation of heuristics applied to their diagnosis which translate partially, to the technical application used. In the systems which aid diagnosis, more specifically in electrocardiograms, the methods of pattern recognition simulate the skills of the cardiologist, when, from a set of characteristics extracted from the signal, it is possible to infer a determined heart condition, indicated by some cardiopathy. The electrocardiogram signal constitutes the measurement of the electrical activity associated with the heart and this process uses the algorithm which presents some difficulties: the variation of wave morphology, physiological conditions and the presence of noise. The utilization of wavelet transforms may represent a valuable tool for analyzing ECG, once they allow by means of the function mother wavelet, to enhance of the wave forms which integrate the electrocardiogram register. This research proposes the utilization of continuous wavelet transforms to detect the occurrence of waves which are part of an electrocardiogram, more specifically the QRS and waves P and T.