Hendel Fatiha

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In this paper, an electrocardiogram (ECG) beat classification system is proposed to discriminate four ECG beat types. This system is based on a fusion of two probabilistic neural networks; our main objective is to minimize the risk of error diagnosis. The first network is RBFNN (Radial Basis Functions Neural Network), it receives 11 temporal parameters and(More)
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