AF automatic classification based on different time-delay values of the recurrence plot

Recurrence plot (RP) has been widely used to transform 1D ECG waveforms into 2D images and explore the recurrence patterns of the electrical signals generated by the cardiac system. However, selecting the critical parameter time-delay tau for creating an RP has not been well-reported. In this work, we investigated the influence of different tau values on the RP-based AF prediction. And the results illustrated that the best classification performance could be achieved at tau=1 with full characters of the dynamic system.