APPLICATION OF ARTIFICIAL NEURAL NETWORKS OPPORTUNITIES IN THE ANALYSIS OF HOLTER MONITORING FINDINGS

Abstract

Development of a Holter monitoring technique in the direction to increase research duration, imposes increased requirements to the software. In this regard use of 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 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.

Keywords

• holter monitoring
• artificial intellect
• artificial neural networks (ann)