Treatment and prevention of cardiovascular diseases often rely on Electrocardiogram (ECG) interpretation. Dependent the physician's variability, ECG interpretation is subjective prone to errors. Machine learning models are developed used support doctors; however, their lack interpretability stands as one main drawbacks widespread operation. This paper focuses an Explainable Artificial Intellige...