In order to improve ECG signal testing, the Rényi entropy formula is introduced into phase transfer entropy, and the concept of Rényi phase transfer entropy is proposed. Using the fourth-order AR model and Hénon mapping, the detection performance of Rényi phase transfer entropy for different signals is analyzed, the effect of Rényi parameters on detection performance is analyzed in detail and then it is used to analyze abnormal ECG signals. Simulation results show that Rényi phase transfer entropy has low sensitivity to data length and the performance of the algorithm can be improved by adjusting the Rényi parameters. Rényi phase transfer entropy can distinguish the different periods of ECG signals from normal sinus rhythm people, ventricular tachyarrhythmia patients and atrial fibrillation patients effectively.

Rényi phase transfer entropy; entropy parameter; ECG signal