AUTOMATED SYSTEMS OF PROCESSING AND ANALYZING                                              OF ELECTRICAL CARDIO SIGNALS UNDER INTENSIVE INTERFERENCE OF VARIOUS KINDS

Tychkov Alexander Yuryevich, Postgraduate student, Penza State University, tychkov-a@mail.ru
Churakov Petr Pavlovich, Doctor of engineering sciences, professor, sub-department of information-measuring
technology, Penza State University, iit@pnzgu.ru
Krivonogov Leonid Yuryevich, Сandidate of engineering sciences, associate professor, sub-department of medical information systems and technologies, Penza State University, leonidkrivonogov@yandex.ru

53.088.7, 612.172.4 

The article shows that electrocardiosignals processing efficiency depends directly on the quality of noise elimination. The authors offer to use a method of empirical mode decomposition for noise-suppression in electrocardiosignals. They have designed a noise-suppression algorithm based on removing separate modefrequency components of electrocardiosignals. The authors have also conducted noise-reduction quality assessment. 

electrocardiosignal, empirical mode decomposition, frequency components.