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A PVC BEATS RECOGNITION USING FUZZY CLASSIFIER

Lecturer Biomedical Engineering Laboratory, Department of Computer Sience, Faculty of Engineers, University Aboubekr Belkaïd, Algeria

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and

OMAR BEHADADA

Doctoral Student Researcher Biomedical Engineering Laboratory, Department of Electronics Biomedical, Faculty of Engineers, University Aboubekr Belkaïd, Algeria

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https://doi.org/10.1142/S021951941000337XCited by:2 (Source: Crossref)

Abstract

This article describes a fuzzy classifier for the identification of premature ventricular complexes (PVCs) in surface electrocardiograms (ECGs). The classifier uses features extracted from the ECG beat, such as the width of QRS complex and RR interval. The performance of the algorithm is evaluated on the MIT-BIH Arrhythmia Database following the AAMI recommendations. The results of the experiments of the recognition of PVCs have confirmed the reliability and advantage of the proposed approach.

Keywords:

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