PVC scalogram detection using neural network

This paper defines pattern matching using backpropagation neural network for detection of Premature Ventricular Complexes in electrocardiograms. Scalograms using continuous wavelet transformation proved to be a powerful tool in morphological recognition of the segments. Total segment overlapping is also presented as a convenient method for classifying normal and odd intervals. It can be helpful not only in interval segmentation for making patterns, but also as a visualization tool.