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The Use of Fuzzy Clustering and Correlation to Implement an Heart Disease Diagnosing System in FPGA
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Journal of Software Engineering and Applications·Volume 04 (2011)·Pages 491–496·Published 29 August 2011·DOI10.4236/jsea.2011.48057
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Abstract
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.
KeywordsCardiopathyHeartCorrelationFuzzy ClusteringElectrocardiogram
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