Various scalographic representation of electrocardiograms through wavelet transform with pseudo-differential operator like operators

Abstract

This paper presents various experimental scalograms of electrocardiograms (ECG) from which the accuracy of discrimination between shockable and non-shockable arrhythmia is improved. To derive the scalograms, for the ECG signals the Gabor wavelet transform, having the various pseudo-differential operator like operators, is applied. Also, for the transformed signals, several nonlinear transforms by means of nonlinear functions are performed. These scalograms are analyzed by the normalized spectrum index (NSI) to find the statistical characteristics, and then the qualitative evaluation is performed to select the best pair of pseudo-differential operator and nonlinear function. Through the best pair selected, a good discrimination performance in the decision algorithm is guaranteed. The histogram is used in the decision stage to distinguish the shockable and non-shockable arrhythmia.