Arrhythmia Detection using Wavelet Transform

In this paper, a new method of arrhythmia classification is proposed, this method based on using the continuous wavelet transform (CWT) for analyzing the ECG signal and extracting the desired parameters related to arrhythmia (heart rate variability). Two models are used to simulate the natural signals of heart; these models are used for the assessment of ECG signal processing methods because they have the same characteristics of the natural signals. Another application is the simulation of some cardiac phenomena and abnormalities such as Normocardia, Bradycardia and Tachycardia. The proposed method gives sharp clear threshold between Normocardia, Bradycardia and Tachycardia.