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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.
| Identifer | oai:union.ndltd.org:IBICT/oai:repositorio.ufrn.br:123456789/21945 |
| Date | 26 August 2016 |
| Creators | Arrais J?nior, Ernano |
| Contributors | 87455021453, Martins, Allan de Medeiros, 01979076448, Guerra Neto, Cust?dio Leopoldino de Brito, 46658564434, Brand?o, Gl?ucio Bezerra, 59184574453, Morais, Antonio Higor Freire de, 04644618470, Souza, Vinicius Samuel Val?rio de, 05083241498, Valentim, Ricardo Alexsandro de Medeiros |
| Publisher | PROGRAMA DE P?S-GRADUA??O EM ENGENHARIA EL?TRICA E DE COMPUTA??O, UFRN, Brasil |
| Source Sets | IBICT Brazilian ETDs |
| Language | Portuguese |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, info:eu-repo/semantics/doctoralThesis |
| Source | reponame:Repositório Institucional da UFRN, instname:Universidade Federal do Rio Grande do Norte, instacron:UFRN |
| Rights | info:eu-repo/semantics/openAccess |
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