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

• 作者: Evaldo Renó Faria Cintra Robson Luiz Moreno Tales Cleber Pimenta
• 来源期刊: 软件工程与应用(英文)
• 学科: 医学
• 关键词: CARDIOPATHY HEART CORRELATION FUZZY CLUSTERING ELECTROCARDIOGRAM
• 年，卷（期）: 2011,（8）
• 页码范围: 491-496
• 页数: 6页
• 分类号: R73

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.