Abstract: A Fuzzy logic architecture that can be used to classify ECG is presented. It uses a feature extractor to characterize the heart electrical axis before being classified by a Fuzzy Logic Network. Obtained results indicate that Fuzzy logic may accurately classify most of the ECG beats, therefore can be used as a diagnostic tool for heart disease.