One application of fuzzy inference system for detection of VEB´s

Author

Chikh, M.A. ; Glorennec, P.Y.

Author_Institution

Lab. of Biomed. Eng., Tlemcen Univ.

Volume

1

fYear

0

fDate

0-0 0

Firstpage

1671

Lastpage

1675

Abstract

This paper describes a fuzzy classifier for the identification of premature ventricular complexes (VEBs) 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 experiments of recognition of VEBs have confirmed the reliability and advantage of the proposed approach

Keywords

electrocardiography; feature extraction; fuzzy reasoning; medical image processing; pattern classification; MIT-BIH arrhythmia database; QRS complex; RR interval; VEB beat recognition; features extraction; fuzzy classifier; fuzzy inference system; premature ventricular complexes identification; surface electrocardiograms; Distributed databases; Electrocardiography; Fuzzy sets; Fuzzy systems; Humans; Logic; Sampling methods; Shape measurement; Spatial databases; Testing; MIT-BIH database; VEB Beat recognítion; fuzzy classifer;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Communication Technologies, 2006. ICTTA '06. 2nd

Conference_Location

Damascus

Print_ISBN

0-7803-9521-2

Type

conf

DOI

10.1109/ICTTA.2006.1684636

Filename

1684636