Automatic Pacemakers Diagnostic System Based on the Neural Network

All over the world and in Russia, there is a rapid increase in the number of pacemaker installations. The pacemaker is diagnosed by a doctor and programming device. Patients who are at a great distance from a medical facility are forced to come to monitor their pacemaker. All these procedures take a lot of time for the patient and the doctor. In this paper, the use of a neural network for automatic remote diagnostics of the functioning of a pacemaker is proposed. The neurons of the input layer represent the data of the pacemaker (for example, voltage, current, conductor impedance, etc.). The output layer signals represent the definition of the nature of the violation. Violations in the operation of a pacemaker can be associated with a break in the conductor with a stand, complete and incomplete loss of conductivity, dislocation of the conductor, etc. Examples of solving the problem of automatic diagnostics of the functioning of a pacemaker are given.