Study of continuous wavelet transform used in ECG pre-diagnostic

The aim of this paper is to use the Continuous Wavelet Transform (CWT) in order to diagnose the pathology that appears in the ECG analysis. The signals used are based on real ECG recordings. The Continuous Wavelet Transform allows a signal represented in the time domain to be represented in time-frequency domain. In this study we used a Normal ECG, an ECG with bradycardia, ECG with tachycardia and an Irregular ECG. CWT used for the analysis are the Daubechies 2, Haar, Morlet and Mexican Hat.