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In the present paper we have reported a wavelet based time-frequencymultiresolution analysis of an ECG signal. The ECG (electrocardiogram), whichrecords hearts electrical activity, is able to provide with useful informationabout the type of Cardiac disorders suffered by the patient depending upon thedeviations from normal ECG signal pattern. We have plotted the coefficients ofcontinuous wavelet transform using Morlet wavelet. We used different ECG signalavailable at MIT-BIH database and performed a comparative study. Wedemonstrated that the coefficient at a particular scale represents the presenceof QRS signal very efficiently irrespective of the type or intensity of noise,presence of unusually high amplitude of peaks other than QRS peaks and Baseline drift errors. We believe that the current studies can enlighten the pathtowards development of very lucid and time efficient algorithms for identifyingand representing the QRS complexes that can be done with normal computers andprocessors.

Wavelet Transform-Based Analysis of QRS complex in ECG Signals