Izvestiya of Saratov University.
ISSN 1817-3020 (Print)
ISSN 2542-193X (Online)


The method for diagnostics of the phase synchronization of the vegetative control of blood circulation in real time

Background and Objectives: The development of methods for the analysis of non-stationary signals of biological nature makes it possible to solve a number of fundamental and applied problems. The use of these methods is promising for the diagnosis and prevention of diseases of the cardiovascular system. The creation of the device makes it possible to detect diseases at an early stage. However, this requires the development of methods for analyzing non-stationary signals of biological nature in real time.


Разработан метод диагностики фазовой синхронизации, ориентированный на анализ в реальном времени нестационарных сигналов биологической природы. Проведено сопоставление статистических свойств предложенного подхода с известным методом диагностики синхронизации, зарекомендовавшим себя при анализе экспериментальных данных. Сопоставление производиться на примере анализа искусственных данных, воспроизводящих статистические свойства экспериментальных временных реализаций контуров вегетативного контроля кровообращения.

Comparison of Methods for Phase Synchronization Diagnostics from Test Data Modeling Nonstationary Signals of Biological Nature

Three methods of phase synchronization diagnostics from time series are compared by the analysis of test data. These data reproduce the statistics of experimental temporal realizations recorded from the system of human cardiovascular system autonomic control.

Application of Atomic Force Microscopy for Detection of Influence of Antibiotic Upon the Microbial Cell (on the Model of E.coli and I Generation Cephalosporins)

Alteration of E.coli cell wall caused by Cefazolin-AKOS was observed atomic force microscopy (AFM). Using semi-contact and contact modes the damaging effect of the Cefazolin-AKOS antibiotic was shown after a 30 minutes exposure. The assessment of physical parameters of cell allow to get more detailed information on the effect of antibiotics on microorganisms.