This research aims to perform the delineation of P-waves and RR-intervals in single-lead electrocardiogram (ECG) signals using Recurrent Neural Networks (RNN). The ECG signals consist of P, Q, R, S, T, and U waves. The delineation process is conducted to identify waves in the EKG signal, dividing the data into eight classes, namely Pwave, Poff-Qon, Qon-Rpeak, Rpeak-Qoff, Qoff-Ton, Twave, Toff-P…