An electrocardiogram diagnostic system implemented in FPGA

In this paper, we present a signal processing method capable of detecting angina in electrocardiograms, and its implementation in Field Programmable Gate Array - FPGA. The adopted procedure is based on fuzzy clustering to reduce the amount of data sampling and a comparison with samples from a previo...

Full description

Saved in:
Bibliographic Details
Main Authors: Carvalho, Helton H, Cintra, Evaldo R F, Pimenta, Tales C, Moreno, Robson L
Format: Conference Proceeding
Language:English
Subjects:
cardiopathy
clustering
Correlation
Diseases
electrocardiogram insert
Field programmable gate arrays
Hardware
Heart
Mathematical model
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper, we present a signal processing method capable of detecting angina in electrocardiograms, and its implementation in Field Programmable Gate Array - 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 angina. The reduced number of samples of the clustering process turns the processing simpler and allows its hardware (FPGA) implementation. According to the tests conducted, the method achieves 85% correct diagnoses.
ISSN:2326-7771
2326-7844
DOI:10.1109/BRC.2012.6222184