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2004, 2

M. A. Chikh, F. Bereksi Reguig

Application of artificial neural networks to identify the premature ventricular contraction (PVC) beats

language: English

received 15.12.2003, published 24.03.2004

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Premature ventricular contraction (PVC) is a cardiac arrhythmia that can result in sudden death. Understanding and treatment of this disorder would be improved if patterns of electrical activation could be accurately identified and studied during its occurrence. In this paper, we shall review three feature extractions algorithms of the electrocardiogram (ECG) signal, Fourier transform, linear prediction coding (LPC) technique and principal component analysis (PCA) method, with aim of generating the most appropriate input vector for a neural classifier. The performance measures of the classifier rate, sensitivity and specificity of these algorithms will also be presented using as training and testing data sets from the MIT-BIH (Massachusetts Institute Technology – Beth Israel Hospital) database.

14 pages, 3 figures

Сitation: M. A. Chikh, F. Bereksi Reguig. Application of artificial neural networks to identify the premature ventricular contraction (PVC) beats. Electronic Journal “Technical Acoustics”,, 2004, 2.


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Mohammed Amine Chikh received the engineering degree in Computer Science from the National Institute of electricity and electronics of Boumerdes, Algeria in 1985 and the Master degree in Physic Electronics from the University of Tlemcen, Algeria in 1992. Currently, he is preparing a PHD at the University of Tlemcen, Algeria and he is a member of Laboratory in Biomedical Engineering. His area of research interests includes Biomedical signal Processing and classification of pathologies.

e-mails: c_bamine(at), mea_chikh(at)


F. Bereksi Reguig recieved the engineering degree in Electronics from the University of Science and Technology, Oran, Algeria in 1983 and the MSc and PhD degrees in Modern Electronics from the University of Nottingham, England in 1985 and 1989 respectively. Currently, he is a Professor in the Department of Electronics at the University of Tlemcen, Algeria and the Director of the research Laboratory in Biomedical Engineering. His area of research interests includes biomedical signal processing and microcomputer-based medical instrumentation.