The Use of Fuzzy Clustering and Correlation to Implement an Heart Disease Diagnosing System in FPGA  

作　　者：Evaldo Renó Faria Cintra Tales Cleber Pimenta Robson Luiz Moreno 

机构地区：[1]不详

出　　处：《Journal of Software Engineering and Applications》2011年第8期491-496,共6页软件工程与应用（英文）

摘　　要：In this paper we present a signal processing method capable of detecting cardiopathies in electrocardiograms that was implemented in FPGA. 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 a cardiopathy. 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 91% correct diagnoses.In this paper we present a signal processing method capable of detecting cardiopathies in electrocardiograms that was implemented in FPGA. 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 a cardiopathy. 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 91% correct diagnoses.

关 键 词：CARDIOPATHY HEART CORRELATION FUZZY CLUSTERING ELECTROCARDIOGRAM 

分 类 号：R73[医药卫生—肿瘤]