Fetal Electrocardiogram is a Non-Invasive technique, used to measure the fetus’s heart rate during pregnancy in order to assess the fetus’ growth and health, identify any anomalies, and avert diseases. This technique is extremely important in remote areas where health services are scarce. The fetal ECG acquires non-stationary and time-varying inaccuracies, resulting in various noise components in signal acquisition due to body resistance and it will be troublesome in accurate measurement of fetal heart rate. For accurate diagnosis of fetal heart rate, it is essential to extract fetal signals from abdominal maternal and fetal electrocardiograms. The work in this project is based on developing an automated algorithm used to detect and extract fetal heart rate using R-peaks in fetal electrocardiogram while suppressing various noise components. This R-peak has maximum amplitude as compared to other features in the acquired signal. Numerical Simulation of Statistical parameters including Mean Square Error and Signal-to-Noise Ratio is performed to check validity of the proposed method. At the final stage, using these software algorithms, a MATLAB Simulink model is developed as a hardware prototype to obtain fetal electrocardiogram.