Comparison of different mother wavelets in PVC detection using PNN

Recently, cardiac diagnosis becomes very important to determine cardiac health condition. Since electrocardiogram (ECG) plays important role in the diagnosis, many classification methods are developed by means of analyzing ECG. The motivation of this study is to research on the optimal wavelet that would accurately classify ECG signal into two distinct classes; normal and Premature Ventricle Contraction (PVC) beats when using Probabilistic Neural Network (PNN).