Title :
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.
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;
Conference_Titel :
Information and Communication Technologies, 2006. ICTTA '06. 2nd
Conference_Location :
Damascus
Print_ISBN :
0-7803-9521-2
DOI :
10.1109/ICTTA.2006.1684636
