This paper proposes a classification algorithm for the classification of ventricular Arrhythmia disease associated with heart attack. Classification of this disease and its type is important in the prediction process so that the life of the people can be saved. Recently, numerous research and techniques have been developed for the analyzing the biomedical signal and helps in classification of dysrthymia. The proposed scheme were mainly based on naïve Bayes algorithm which is efficient compared with others. The proposed paper is implemented and simulated using ModelSim software and produce output of accuracy 90%.