Mohammad Hasan Olyaei Torqabeh - Faculty of Electrical Engineering, Sadjad University of Technology, Mashhad, Iran
Hasan Jalali - Faculty of Electrical Engineering, Sadjad University of Technology, Mashhad, Iran
Ali Olyaei Torqabeh - Department of Computer Engineering, Faculty of Engineering, Ferdowsi University ofMashhad, Mashhad, Iran

This paper discusses a new method called CITFA to classify the heart signal into twonormal class and murmur class. So far, several methods have been proposed forclassifying the heart signal by scientists. This algorithm is based on deep learning andconsists of two steps. Firstly, the heart signal is received and then converted to CITFAand used as training data. In the next step, these data are taught to the deep network.The simulation and definition of the deep network is done using Python software. Thedatabase used to train the deep network is selected from the Classifying Heart SoundsChallenge series. The simulation results show that the proposed method has aprecision of 98.79% of the ability to classify the heart signals.

heart signal, normal, murmur, classification, deep learning, python