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The paper discusses the possibility of using the dynamics of a class of Cellular Neural Networks (CNN's) for electrocardiogram (ECG) signals classification. The main idea is that of segmentation and transformation of the temporal signal into a 1D spatial one which is further processed by means of a bank of linear spatial filters using a parallel architecture of CNN type. A major advantage of the proposed...
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