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Bottom-up design of artificial neural network for single-lead electrocardiogram beat and rhythm classification
Performance improvement in computerized Electrocardiogram (ECG) classification is vital to improve reliability in this life-saving technology. The non-linearly overlapping nature of the ECG classification task prevents the statistical and the syntactic procedures from reaching the maximum performanc
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