SUPERVISED CLASSIFICATION OF ECG USING NEURAL NETWORKS

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Titre:	SUPERVISED CLASSIFICATION OF ECG USING NEURAL NETWORKS
Auteur(s):	Belgacem, N Chikh, MA Bereksi Reguig, F
Mots-clés:	ECG beat classifier supervised classification LVQ neural networks
Date de publication:	27-sep-2003
Editeur:	University of Tlemcen
Résumé:	In this study, two kinds of neural networks are employed to develop a supervised ECG beat classifier. In order to improve the performance of the MLP classifier for application to ECG signal, the performance is compared to an LVQ neural network classifier. The two classifiers are tested with selected ECG time series and experimental results show that the MLP classifier offers a great potential in the supervised classification of ECG beats.
Description:	Conférence Internationale sur les Systèmes de Télécommunication , d’Electronique Médicale et d’Automatique, CISTEMA’2003
URI/URL:	http://dspace.univ-tlemcen.dz/handle/112/837
Collection(s) :	Articles internationaux

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