ELECTRONIC RADIO SIGNALS MINING FOR THE MYOCARDIAL INFARCTION DIAGNOSIS 

Bodin Oleg Nikolaevich, Doctor of engineering sciences, professor, sub-department of medical devices and equipment, Penza State University, bodin_O@inbox.ru
Kuzmin Andrey Viktorovich, Candidate of engineering sciences, associate professor, sub-department of engineering and applied mechanics, Penza State University, flickerlight@inbox.ru
Loginov Dmitry Sergeevich, Postgraduate student, Penza State University, loginov_d@inbox.ru 

004.8.032.2; 004.89:004.4; 616.1 

The article is devoted to application of intelligent data analysis methods for diagnostics of conditions of the heart. Combined approach of analysis of elecrocardiosignals is offered. Authors demonstrated some results of using of artificial neural network for diagnostics of cardiac infarct. 

artificial neural network, heart, diagnostics, electrocardiosignal.