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This paper presents a highly accurate ECG beat classification system. It uses continuous wavelet transformation combined with time domain morphology analysis to form three separate feature vectors from each beat. Each of these feature vectors are then used separately to train three different support vector machine (SVM) classifiers. During data classification each of the three classifiers independently...
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