The aim of this study is to introduce a new methodology for isolation of ectopic
rhythms of ambulatory electrocardiogram (ECG) holter data via appropriate statistical
analyses imposing reasonable computational burden. First, the events of the ECG signal are
detected and delineated using a robust wavelet-based algorithm. Then, using Binary
Neyman-Pearson Radius test, an appropriate classifie...
