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Detection and classification of electrocardiogram (ECG) signals is critically linked to the diagnosis of cardiac abnormalities. In this paper, a novel approach for ECG classification is presented using features based on wavelet subband energy coefficients. The ECG signals are decomposed into time-frequency representation using wavelet transform and then wavelet coefficients are used to calculate some...
Heart diseases are frequent reasons of death. Hence, there is always a need to develop systems that can provide prior indication about the state of the heart. This is also required because medical facilities may not be uniform everywhere. In such situation certain innovative approaches using certain signal processing techniques can provide considerable support. As a follow up to such possibilities,...
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