Exposure of cardiovascular disease diagnostic signs by neural network

A system based on the method of potential functions for pattern recognition was developed. Input vectors length of the designed system is equal to 9 according to the number of electrocardiogram parameters. The number of recognized signs of disease is equal to 6 (hypertrophy of auricle, rhythm and conduction disturbance). The system appeared to be an effective one for usage at polyclinics.