ECG warning system is established for real time monitoring of a patient's electrocardiogram (ECG) and automatic detection of certainement cardiac diseases, namely myocardial infarction, hyperkalemia and atrioventricular block. A distinctive research work related on the assimilation of modern technologies: software, computer and information technologies. ECG early warning system's algorithm is developed in accordance to measuring the average of the ECG signatures and Interprets the data with simulated healthy curve. The prototype system INITIALLY classifies the data and Evaluated it with natural healthy simulated curve. Meanwhile the system discards f healthy curve exists otherwise the system stores the distinguished abnormalities in the curve then transfers Warning to the doctor and patient. Cardiac patients can be assisted by this warning system by detecting abnormalities at the very early stage. Consequently, doctors Provide better tools to identify cardiac diseases resulting things more accurate medical advice