The electrocardiogram presents the electrical activity of the heart, which informs about the condition of the heart muscle. The interpretation and diagnostic of this signal lead to detect various cardiac abnormalities and diseases, for that the feature extraction and the denoising are very useful in cardiology. Therefore, nowadays the interest of medical researchers is to invent techniques according to the technological revolution for the ECG diagnostic instead of the traditional ones that are until now still used at hospitals and clinics. The purpose of this project is to develop an algorithm based on efficient approaches and methods via the Labview Software interface, in order to extract and calculate the main parameters from an ECG signal. The recorded ECG signals were taken from the MIT -BIH Arrhythmia database and tested by our algorithm. The main features that were extracted are P, Q, R, S and T amplitudes and durations, all waves onsets and offsets, PR, ST and QT segments and PR, QT interval and QRS duration. In order to evaluate the performance and efficiency of our VI code, we compared the extracted feature values to the real one read manually from the ECG paper and we concluded that it achieved good results especially in detecting all waves' amplitudes, QRS duration, PR and QT intervals.