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Journal Biomedical Radioelectronics №5 for 2017 г.
Article in number:
Diagnosis of cardiovascular system states using methods of nonlinear digital signal processing of Doppler blood flow velocity meters
Type of article: scientific article
UDC: 004.942
Keywords: coronary blood flow autocorrelation function phase portrait attractor
Authors:

M.A. Basarab Dr. Sc. (Phys.-Math.), Professor, Department of Computer Science and Control Systems, Bauman Moscow State Technical University E-mail:basarab70@gmail.com

N.S. Konnova Senior Research Scientist, Department of Computer Science and Control Systems, Bauman Moscow State Technical University E-mail: ttttasha@mail.ru

V.N. Mitrokhin Dr Sc. (Eng.), Laureate of the State Prize of RF, Honored Worker of Higher Education, Professor, Department of Electronics and Laser Technology, Bauman Moscow State Technical University E-mail:main@r11-11.bmstu.ru

D.A. Basarab Ph. D.(Med.), Head of the Cardiovascular Department, St.Ioasaf's Belgorod Regional Hospital E-mail: basarab.74@yandex.ru

D.D. Matsievsky Ph. D. (Eng.), Head of Laboratory, Scientific Research Institute on General Pathology and Pathophysiology, Moscow E-mail: matsievskii.dd@gmail.com

Abstract:

 

The application of digital processing methods to the Doppler blood flow velocity sensor data for the diagnosis of cardiovascular system conditions is considered. Special attention in this work is given to the use of the autocorrelation method and the construction of phase portraits by Takkens for systems with different types of blood flow. We consider the difference between the received ACF of the signal and the scatterogram for the cases of normal, unaltered blood flow, and pathology. The features of coronary blood flow in the light of studied methods are discussed.

 

Pages: 3-12
References
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Date of receipt: 3 апреля 2017 г.