An angina diagnostic system using fuzzy clustering and correlation

Author

Cintra, Evaldo Renó Faria ; Pimenta, Tales Cleber ; Moreno, Robson Luiz

Author_Institution

Microelectron. Group, Fed. Univ. of Itajuba, Itajuba, Brazil

fYear

2011

fDate

30-31 May 2011

Firstpage

172

Lastpage

175

Abstract

In this paper, we present a signal processing method capable of detecting angina in electrocardiograms. The adopted procedure is based on fuzzy clustering to reduce the amount of data sampling and a comparison with samples from a previously established database. By using the correlation method on the samples, it is possible to establish an initial indication of angina. The reduced number of samples of the clustering process turns the processing simpler and allows its hardware implementation. According to the tests conducted, the method achieves 85% correct diagnoses.

Keywords

correlation methods; data analysis; diseases; electrocardiography; fuzzy logic; medical signal detection; medical signal processing; patient diagnosis; pattern clustering; angina diagnostic system; data sampling; electrocardiogram; fuzzy clustering; fuzzy correlation; hardware implementation; heart diseases; signal processing method; Artificial neural networks; Correlation; Databases; Diseases; Electrocardiography; Hardware; Heart; cardiopathy; clustering; correlation; electrocardiogram; heart;

fLanguage

English

Publisher

ieee

Conference_Titel

Medical Measurements and Applications Proceedings (MeMeA), 2011 IEEE International Workshop on

Conference_Location

Bari

Print_ISBN

978-1-4244-9336-4

Type

conf

DOI

10.1109/MeMeA.2011.5966679

Filename

5966679