Nowadays, heart disease prediction is a challenge to modern technologies. An Electrocardiogram (ECG) is a preferred tool that could help in making decision about heart conditions. However, uncertainties, that affect sensors measurements in ECG, raise the challenge. This paper describes automatic analysis of Electrocardiographic recordings (ECGs), through the analysis of variables using fuzzy inference systems. Concerned ECGs are specifically those of competitive football players. Hence, variables characterizing ECG are determined from Pre Competition Medical Assessment (PCMA) form imposed by FIFA. Two decision making fuzzy systems are developed. In the first hand, specific Fuzzy Expert System (FES) for ECG analysis is presented to decide about the state of concerned player. In another hand, generic fuzzy expert system, already used in industrial diagnosis and in video surveillance, is presented for the same purpose. Finally, a comparison between two systems is detailed to highlight the efficiency of using generic fuzzy expert system.