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This paper presents a method for modeling and identification of electrocardiogram signals; the proposed method consists of two phases; the first one is focused on obtaining the period of an ECG signal using a procedure of autocorrelation. The second phase obtains R-peaks using the Hilbert transform. Finally, an Artificial Neural Network using a retraining technique is applied for the prediction stage;...
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