The analysis of a kardioritmogramm in a neural network base of operations

Questions of the automated analysis of a warm rhythm in real time on the basis of use of the device of artificial neural networks are considered. Application of a neural network base of operations is justified. The block diagram of a neural network subsystem of signal processing of a cardiorhythmogram is offered. Neural network models are developed for determination of sign of a constant bigeminal pulse, sign of a stable sinoatrial rate, a rigid sinus rhythm, a slantwise descending rigid sinoatrial rate, quantity extrasystole on a cardiorhythmogram. Simulation of operation of system components on a computer is executed. The system is realized on hardware description language for FPGA. Simulation in the Altera Quartus II environment is carried out.