Abstract—The Analysis of Electrocardiogram (ECG) signal plays a crucial role to investigate the cardiac activities and dynamics. The realistic ECG signals are corrupted by several sources of noise. In order to overcome this problem a number of mathematical functions were developed to generate an Artificial ECG signal. In this paper, a brief summary of different methods used for artificial ECG signal generation has been presented. The methods involve generation of ECG wave using mathematical functions, implemented using MATLAB and comparison of simulated values with actual typical values. An artificially generated signal provides the facility to change the sampling frequency, levels of noise, and to assess the performance of various signal analysis and processing techniques there by extending mathematical dominion to analyse electrical activity of the heart. Using mathematical model, normal sinus rhythms as well as different abnormal conditions based ECG signals have been also generated. 

Index Terms—Artificial ECG, R-R tachogram, MATLAB, ECGSYN.

Cite: Alka Mishra and Surekha Bhusnur, "Recapitulation of Synthetic ECG Signal Generation methods and Analysis," International Journal of Signal Processing Systems, Vol. 10, No. 3, pp. 14-17, September 2022. doi: 10.18178/ijsps.10.3.14-17.