Submitted by Automa??o e Estat?stica (sst@bczm.ufrn.br) on 2017-02-09T22:01:23Z No. of bitstreams: 1 ErnanoArraisJunior_TESE.pdf: 2358354 bytes, checksum: fe5eabcdace20f4bc0d035be4b15e067 (MD5) / Approved for entry into archive by Arlan Eloi Leite Silva (eloihistoriador@yahoo.com.br) on 2017-02-10T18:46:36Z (GMT) No. of bitstreams: 1 ErnanoArraisJunior_TESE.pdf: 2358354 bytes, checksum: fe5eabcdace20f4bc0d035be4b15e067 (MD5) / Made available in DSpace on 2017-02-10T18:46:36Z (GMT). No. of bitstreams: 1 ErnanoArraisJunior_TESE.pdf: 2358354 bytes, checksum: fe5eabcdace20f4bc0d035be4b15e067 (MD5) Previous issue date: 2016-08-26 / Conselho Nacional de Desenvolvimento Cient?fico e Tecnol?gico (CNPq) / Os problemas cardiovasculares est?o entre as principais causas de mortandade no mundo. Estima-se que cerca de 15 % da popula??o mundial vem a ?bito devido a problemas cardiovasculares. No Brasil esse n?mero equivale a quase 30 % dos casos de morte, sendo os homens os mais afetados por doen?as cardiovasculares, apresentando um percentual de aproximadamente 60 % das v?timas. Outro fator alarmante, ? que o Brasil est? entre os 10 pa?ses com maior ?ndice de morte por doen?as cardiovasculares. Os problemas cardiovasculares s?o oriundos do mal funcionamento do cora??o e das art?rias, sendo os mais comuns o infarto, o acidente vascular cerebral (AVC), arritmias card?acas e isquemias. Assim, se faz necess?rio um bom acompanhamento das atividades card?acas, a fim de evitar poss?veis transtornos oriundos de problemas cardiovasculares. Nos ?ltimos anos, diversas solu??es no ?mbito da telecardiologia v?m sendo discutidas para a redu??o destes n?meros, al?m de propor um melhor acompanhamento de indiv?duos (pacientes) e aux?lio ?s unidades b?sicas de sa?de localizadas distantes dos grandes centros. Neste trabalho, ser? apresentado um sistema para an?lise de sinais de eletrocardiograma (ECG) aplicado ? telecardiologia, objetivando a valida??o de dados cl?nicos cardiol?gicos, especificamente arritmias card?acas (bradicardia, taquicardia e contra??o ventricular prematura). A ferramenta matem?tica utilizada para an?lise dos sinais ECG ? a Transformada Wavelet Discreta Redundante (TWDR), sendo implementada uma vers?o para an?lise em tempo-real, e o m?todo utilizado para a aferi??o das caracter?sticas ? o m?todo baseado em thresholds. Ent?o, de posse deste sistema de caracteriza??o do sinal ECG, pode-se validar laudos cl?nicos cardiol?gicos, ou melhor, trata-se de uma ferramenta para aux?lio na valida??o de diagn?sticos m?dicos. Os resultados encontrados foram satisfat?rios, o sistema apresentou Sensibilidade e Preditividade Positiva Superiores a 99 %. Ser? apresentado tamb?m um estudo acerca das ferramentas wavelets que s?o mais indicadas no tratamento de sinais de eletrocardiograma. / Cardiovascular problems are among the leading causes of mortality in the World. It is estimated that about 15 % of the world population has died due to cardiovascular problems. In Brazil this number represents almost 30 % of deaths, being the men the most affected by cardiovascular disease, with a percentage of approximately 60 % of the victims. Another alarming factor is that Brazil is among the 10 countries with the highest rate of death from cardiovascular disease. Cardiovascular diseases arise from malfunction of the heart and arteries, the most common are infarction, stroke, cardiac arrhythmias and ischemia. Thus, if a good monitoring cardiac activity is necessary in order to prevent possible inconvenience arising from cardiovascular disorders. In recent years, several solutions in the framework of Telecardiology have been discussed to reduce these numbers, in addition to proposing a better monitoring of individuals (patients) and aid to basic health care units located far from major centers. In this work, It is proposed a system will for ECG signal analysis applied to Telecardiology, aiming to validate cardiological clinical data, specifically cardiac arrhythmias (bradycardia, tachycardia and premature ventricular contraction). The mathematical tool used for analyzing ECG signals is Redundant Discrete Wavelet Transform (RDWT), implemented a version for real-time analysis, and the method used for measuring the ECG characteristics is the method based on thresholds. Then, with this ECG signal characterization system it can validate cardiological clinical reports, or rather, it is a tool to support of medical diagnostics validation. The results were satisfactory, the system showed Sensitivity and Positive Predictivity above 99 %. It will be presented also a study about mothers wavelet that are more appropriate in ECG signals processing.