Bassam El-Asir
Department of Electrical Engineering, University of Science and Technology, Irbid- Jordan
Rustom Mamlook
Department of Electrical and Computer Engineering, Applied Science University, Amman
ABSTRACT
A Fuzzy logic architecture that can be used to classify ECG is presented. It uses a feature extractor to characterize the heart electrical axis before being classified by a Fuzzy Logic Network. Obtained results indicate that Fuzzy logic may accurately classify most of the ECG beats, therefore can be used as a diagnostic tool for heart disease.
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How to cite this article
Bassam El-Asir and Rustom Mamlook, 2002. ECG Beat Classification by a Fuzzy Logic. Information Technology Journal, 1: 213-217.
DOI: 10.3923/itj.2002.213.217
URL: https://scialert.net/abstract/?doi=itj.2002.213.217
DOI: 10.3923/itj.2002.213.217
URL: https://scialert.net/abstract/?doi=itj.2002.213.217
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priyanka verma Reply
how you had calculated qrs electrical axis angles given on page number 214