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Thanks to the Electrocardiography (ECG) signal and its features, some serious heart diseases can be diagnosed and treated at the early stage. In this paper, we focus on the detecting QRS complex of ECG, more specifically, the R wave. While Pan — Tompkins's algorithm effectively extracts R peak, our new algorithm bases on Pan – Tompkins's model giving the same results but providing possibility of detecting separately Q, R and S features. In order to verify the performance of our method, we compared extracted features (R feature) of the new algorithm built on Simulink with the results from the original Pan – Tompkins's algorithm reassembled in Matlab. Besides, the delay and error analysis of the new algorithm on real-time system (TMS320C6713 DSK) had been done and gain some preliminary results.