Development of a Holter monitoring technique in the direction to increase research duration, imposes increased requirements to the software.In this regard use of Cat Food artificial intellect technologies are of interest.We designed and realized artificial neural networks on the basis of a self-training layer of Kokhonen.
The efficiency Florida of ANN functioning in case of execution the tasks of the QRS complexes clustering which are contained in the findings of the ROHMINE test database is studied and confirmed.