Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6516
Title: Detection of electrocardiogram beats using a fuzzy similarity index
Authors: Übeyli, Elif Derya
Keywords: fuzzy similarity index
wavelet coefficients
electrocardiogram beats
Issue Date: 2007
Publisher: Wiley
Abstract: A new approach based on the computation of a fuzzy similarity index (FSI) is presented for the detection of electrocardiogram (ECG) beats. Four types of ECG beats (normal beat, congestive heart failure beat, ventricular tachyarrhythmia beat, atrial fibrillation beat) obtained from the Physiobank database were analysed. The ECG signals were decomposed into time-frequency representations using the discrete wavelet transform and wavelet coefficients were calculated to represent the signals. The aim of the study is detection of ECG beats by the combination of wavelet coefficients and the FSI. Toward achieving this aim, fuzzy sets were obtained from the feature sets (wavelet coefficients) of the signals under study. The results demonstrated that the similarity between the fuzzy sets of the studied signals indicated the variabilities in the ECG signals. Thus, the FSI could discriminate the normal beat and the other three types of beats (congestive heart failure beat, ventricular tachyarrhythmia beat, atrial fibrillation beat).
URI: https://doi.org/10.1111/j.1468-0394.2007.00422.x
https://hdl.handle.net/20.500.11851/6516
ISSN: 0266-4720
1468-0394
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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