A pulse transmission model for ECG by complex valued signal analysis using wavelets

In ECG based medical interpretation systems, the knowledge of the cardiac signal propagation, corresponding muscle potential and respective spatial distribution is of great importance. In this paper we have converted the real-valued ECG signals into complex-valued signals using Hilbert Transform and obtained the continuous wavelet transform (CWT) of this signal. The time localizations and energy centers in the CWT can be used to predict the basic origin of the signal, unlike in real-valued correlation techniques. The concepts derived from this method are used in identification of the possible origins of the signals in the heart, through an inverse system identification procedure. The results show that this would be a potential tool for interpreting ECG based diagnosis.