350 rub
Journal Biomedical Radioelectronics №8 for 2018 г.
Article in number:
The analysis of a kardioritmogramm in a neural network base of operations
Type of article: scientific article
DOI: 10/18127/j5604136-201808-07
UDC: 615.47.03:616.12-073.96
Authors:

O.V. Melnik
Dr.Sc. (Eng.), Professor, Department «Information-measuring and biomedical engineering»,
Ryazan State Radio Engineering University

E-mail: omela111@yandex.ru
S.V. Chelebaev
Ph.D. (Eng.), Associate Professor, Department «Automated Control Systems»,
Ryazan State Radio Engineering University

E-mail: sergeychelr@yandex.ru
Yu.A. Chelebaeva
Post-graduate Student, Department «Information-measuring and Biomedical Engineering»,
Ryazan State Radio Engineering University

E-mail: chel-juliya@yandex.ru

Abstract:

Questions of the automated analysis of a warm rhythm in real time on the basis of use of the device of artificial neural networks are considered. Application of a neural network base of operations is justified. The block diagram of a neural network subsystem of signal processing of a cardiorhythmogram is offered. Neural network models are developed for determination of sign of a constant bigeminal pulse, sign of a stable sinoatrial rate, a rigid sinus rhythm, a slantwise descending rigid sinoatrial rate, quantity extrasystole on a cardiorhythmogram. Simulation of operation of system components on a computer is executed. The system is realized on hardware description language for FPGA. Simulation in the Altera Quartus II environment is carried out.

Pages: 39-44
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Date of receipt: 23 мая 2018 г.