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检索条件"机构=Laboratory of Nonlinear Dynamics Modelling"

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Using FPGA for developing hybrid system of coupled neuron-like radiophysical oscillators 7

Using FPGA for developing hybrid system of coupled neuron-li...

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7th Scientific School: dynamics of Complex Networks and their Applications, DCNA 2023

作者： Ezhov, Dmitry M. Ponomarenko, Vladimir V. Prokhorov, Mikhail D. Kurbako, Aleksander V. Saratov State University Laboratory of Nonlinear Dynamics Modelling Saratov Branch The Institute of RadioEngineering and Electronics of Russian Academy of Science Department of Dynamic Modeling and Biomedical Engineering Saratov Russia Saratov Branch of the Institute of RadioEngineering and Electronics of Russian Academy of Science Laboratory of Nonlinear Dynamics Modelling Saratov Russia

ISBN: (纸本)9798350305746

We developed and described with Verilog hardware module for implementation configuring coupling between oscillators. We used it to couple radiophysical oscillators FitzHugh-Nagumo. Possibility and prospects of usage FPGA in hybrid analog-digital systems for flexible configuration of couplings between neuron-like oscillators was shown. © 2023 IEEE.

关键词： Hybrid systems

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Development of Real-Time Methods for Calculating Cardiointervalograms for Estimating the State of the Cardiovascular System Using a Single Photoplethysmogram Signal 6

Development of Real-Time Methods for Calculating Cardiointer...

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6th Scientific School "dynamics of Complex Networks and their Applications", DCNA 2022

作者： Kurbako, Aleksander V. Skazkina, Victoria V. Borovkova, Ekaterina I. Karavaev, Anatoly S. Saratov State University Laboratory of Nonlinear Dynamics Modelling Saratov Branch The Institute of RadioEngineering and Electronics of Russian Academy of Science Department of Dynamic Modeling and Biomedical Engineering Saratov Russia Institute of Cardiological Research Saratov State Medical University Laboratory of Nonlinear Dynamics Modelling Saratov Branch The Institute of RadioEngineering and Electronics of Russian Academy of Sciences Department of Innovative Cardiological Information Technology Saratov Russia

ISBN: (数字)9781665461740

ISBN: (纸本)9781665461740

We have developed four real-time methods for calculating a cardiointervalogram from a photoplethysmogram signal to calculate the total percentage of phase synchronization for estimating the state of the cardiovascular system. The methods were compared with the classical method of calculating a cardiointervalogram from an electrocardiogram signal using signals recorded from healthy volunteers and patients with COVID-19. © 2022 IEEE.

关键词： Cardiovascular system

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Mathematical modeling of nonlinear dynamics of the cardiovascular system under different physiological conditions 5

Mathematical modeling of nonlinear dynamics of the cardiovas...

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5th Scientific School on dynamics of Complex Networks and their Applications, DCNA 2021

作者： Ishbulatov, Yurii M. Karavaev, Anatoly S. Ponomarenko, Vladimir I. Prokhorov, Mikhail D. Kiselev, Anton R. Bezruchko, Boris P. Laboratory of Nonlinear Dynamics Modelling Saratov Branch of the Institute of RadioEngineering and Electronics of Russian Academy of Sciences Department of Innovative Cardiological Information Technology Institute of Cardiological Research Saratov State Medical University Department of Dynamic Modeling and Biomedical Engineering Saratov State University Saratov Russia Laboratory of Nonlinear Dynamics Modelling Saratov Branch of the Institute of RadioEngineering and Electronics of Russian Academy of Sciences Department of Dynamic Modeling and Biomedical Engineering Saratov State University Saratov Russia Laboratory of Nonlinear Dynamics Modeling Saratov Branch of the Institute of Radio Engineering and Electronics of Russian Academy of Sciences Saratov Russia Department of Innovative Cardiological Information Technology Institute of Cardiological Research Saratov State Medical University Department of Dynamic Modeling and Biomedical Engineering Saratov State University Saratov Russia

ISBN: (纸本)9781665442824

nonlinear dynamics of the cardiovascular system under various physiological conditions is still largely not understood, especially the coupling between the elements of autonomic control and respiration. Under normal, healthy conditions the loops of the autonomic control of the heart rate exhibit intervals of coupled and uncoupled behavior, and during the tests with linearly increasing frequency of respiration, we observed coupling between the respiratory signal and the low-frequency rhythms in the RR-intervals signal associated with the autonomic control of the heart rate. Some researchers theorize that the perceived coupling is due to the presence of the same driving rhythm, which originates from the brain or respiratory system, respectively. Other theory suggest that the observed coupling is based on the phase synchronization between the loops of autonomic control. We applied mathematical modeling to investigate this problem, qualitative and quantitative agreement of the model with the experimental data, suggest that the cardiovascular and cardiorespiratory coupling is based on phase synchronization. © 2021 IEEE

关键词： dynamics

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Modification of real-time method for diagnostics of synchronization between the autonomic control loops 5

Modification of real-time method for diagnostics of synchron...

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5th Scientific School on dynamics of Complex Networks and their Applications, DCNA 2021

作者： Kurbako, Aleksander V. Kulminsky, Danil D. Borovkova, Ekaterina I. Kiselev, Anton R. Skazkina, Victoria V. Ponomarenko, Vladimir I. Bezruchko, Boris P. Karavaev, Anatoly S. Laboratory of Nonlinear Dynamics Modelling Saratov Branch of the Institute of RadioEngineering and Electronics of Russian Academy of Science Department of Dynamic Modeling and Biomedical Engineering Saratov State University Saratov Russia Laboratory of Nonlinear Dynamics Modelling Saratov Branch of the Institute of RadioEngineering and Electronics of Russian Academy of Science Department of Innovative Cardiological Information Technology Institute of Cardiological Research Saratov State Medical University Saratov Russia Department of Innovative Cardiological Information Technology Institute of Cardiological Research Saratov State Medical University Department of Dynamic Modeling and Biomedical Engineering Saratov State University Saratov Russia

ISBN: (纸本)9781665442824

We modified the method for diagnosing the intervals of phase synchronization of the autonomic control loops of the cardiovascular system, based on averaging the values of the instantaneous phase difference in sliding windows. A comparison of the sensitivity values of the modified method, the previously developed method and the known method based on linear approximation of the instantaneous phase difference in sliding windows was conducted. The computational complexity of the methods under consideration was also compared. Comparison showed that the modified method shows sensitivity values close to the known method and is a computationally simpler method. © 2021 IEEE

关键词： Cardiovascular system

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Development of Hardware-Software Complex for Detecting a Stress State in Real Time from EEG Signals 7

Development of Hardware-Software Complex for Detecting a Str...

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7th Scientific School: dynamics of Complex Networks and their Applications, DCNA 2023

作者： Kurbako, Aleksander V. Borovkova, Ekaterina I. Hramkov, Aleksey N. Karavaev, Anatoly S. Ponomarenko, Vladimir I. Prokhorov, Mikhail D. Saratov Branch of the Institute of Radio Engineering and Electronics of Russian Academy of Science Laboratory of Nonlinear Dynamics Modelling Saratov Russia Immanuel Kant Baltic Federal University Saratov Russia Saratov State University Department of Dynamic Modeling and Biomedical Engineering Saratov Russia

ISBN: (纸本)9798350305746

We have developed an eight-channel device for recording electroencephalogram signals in a wide frequency range including low-frequency oscillations. The signals simultaneously recorded by the developed device and serial recorder have been compared. We have proposed and implemented a method for detecting a stress state in real time. The method is based on the analysis of electroencephalogram signal power spectrum in the range from 0.15 to 0.4 Hz. © 2023 IEEE.

关键词： Electroencephalography

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Mathematical model of the photoplethysmogram and electrocardiogram signals with a priory known pattern of the phase synchronization 7

Mathematical model of the photoplethysmogram and electrocard...

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7th Scientific School: dynamics of Complex Networks and their Applications, DCNA 2023

作者： Ishbulatov, Yurii M. Kurbako, Aleksandr V. Vahlaeva, Anna M. Gridnev, Vladimir I. Prokhorov, Mikhail D. Karavaev, Anatoly S. Institute of Physics Saratov State University Laboratory of Nonlinear Dynamics Modelling Saratov Branch The Institute of Radio Engineering and Electronics of Russian Academy of Sciences Institute of Cardiological Research Saratov State Medical University Saratov Russia Institute of Physics Saratov State University Laboratory of Nonlinear Dynamics Modelling Saratov Branch The Institute of Radio Engineering and Electronics of Russian Academy of Sciences Saratov Russia Institute of Physics Saratov State University Saratov Russia Institute of Physics Saratov State University Institute of Cardiological Research Saratov State Medical University Saratov Russia

ISBN: (纸本)9798350305746

We developed a mathematical model of the coupled photoplethysmogram and electrocardiogram signals, which can be used to test nonlinear dynamics and machine learning algorithms for detection of the phase synchronization between the low-frequency (0.04-0.15 Hz) components of the real-world signals. In the model the instantaneous phases of the low-frequency components and their difference are known a priory, and, therefore, can be referenced during testing. The phase difference quantitatively reproduces the spectral characteristics of the phase noise present in the experimental signals and other statistical properties, namely the distributions for the durations of the horizontal and sloping sections of the phase difference, which correspond to the intervals of phase synchronization and desynchronization between the signals. The model qualitatively simulates the shape of the experimental electrocardiogram and photoplethysmogram signals, and quantitatively simulates their power spectra. © 2023 IEEE.

关键词： Electrocardiograms

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Using FPGA for developing hybrid system of coupled neuron-like radiophysical oscillators

Using FPGA for developing hybrid system of coupled neuron-li...

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School on dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR)

作者： Dmitry M. Ezhov Vladimir V. Ponomarenko Mikhail D. Prokhorov Aleksander V. Kurbako Department of Dynamic Modeling and Biomedical Engineering Laboratory of Nonlinear Dynamics Modelling Saratov Branch of the Institute of RadioEngineering and Electronics of Russian Academy of Science Saratov State University Saratov Russia Laboratory of Nonlinear Dynamics Modelling Saratov Branch of the Institute of RadioEngineering and Electronics of Russian Academy of Science Saratov Russia

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Phase analysis of long-term signals by determining the protophase and phase of the signal

Phase analysis of long-term signals by determining the proto...

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School on dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR)

作者： Viktoriia V. Skazkina Ekaterina I. Borovkova Vladimir I. Ponomarenko Mikhail D. Prokhorov Anatoly S. Karavaev Department of Dynamic Modeling and Biomedical Engineering Saratov State University Saratov Russia Laboratory of Nonlinear Dynamics ModellingSaratov Branch of the Institute of RadioEngineering and Electronics of Russian Academy of Sciences Saratov State University Saratov Russia Laboratory of Nonlinear Dynamics Modelling Saratov Branch of the Institute of RadioEngineering and Electronics of Russian Academy of Sciences Saratov State University Saratov Russia Laboratory of Nonlinear Dynamics Modelling Saratov Branch of the Institute of RadioEngineering and Electronics of Russian Academy of Sciences Saratov Russia

ISBN: (数字)9781728172866

ISBN: (纸本)9781728172873

In this paper, we investigated two methods for determining instantaneous phases using long-term recordings of the human cardiovascular system - the Hilbert transform (what we call the protophase) and the nonlinear protophase transform. The latter method allowed us to make the phase more linear, however, it did not significantly affect the coherence coefficient between the studied signals.

关键词： Transforms Synchronization Oscillators Cardiovascular system Electrocardiography Noise measurement

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Phase analysis of long-term signals by determining the protophase and phase of the signal 4

Phase analysis of long-term signals by determining the proto...

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4th Scientific School on dynamics of Complex Networks and their Application in Intellectual Robotics, DCNAIR 2020

作者： Skazkina, Viktoriia V. Borovkova, Ekaterina I. Ponomarenko, Vladimir I. Prokhorov, Mikhail D. Karavaev, Anatoly S. Saratov State University Department of Dynamic Modeling and Biomedical Engineering Saratov Russia Laboratory of Nonlinear Dynamics Modelling Saratov Branch Institute of RadioEngineering and Electronics Russian Academy of Sciences Saratov Russia Department of Innovative Cardiological Information Technology Institute of Cardiological Research Saratov State Medical University Saratov Russia

ISBN: (纸本)9781728172866

In this paper, we investigated two methods for determining instantaneous phases using long-term recordings of the human cardiovascular system-the Hilbert transform (what we call the protophase) and the nonlinear protophase transform. The latter method allowed us to make the phase more linear, however, it did not significantly affect the coherence coefficient between the studied signals. © 2020 IEEE.

关键词： nonlinear analysis

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Role of the Bidirectional Cardiorespiratory Coupling in the nonlinear dynamics of the Cardiovascular System 6

Role of the Bidirectional Cardiorespiratory Coupling in the ...

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6th Scientific School "dynamics of Complex Networks and their Applications", DCNA 2022

作者： Karavaev, Anatoly S. Ishbulatov, Yurii M. Bibicheva, Tatiana S. Gridnev, Vladimir I. Prokhorov, Mikhail D. Ogneva, Marina V. Kiselev, Anton R. Institute of Cardiological Research Saratov State Medical University Laboratory of Nonlinear Dynamics Modelling Saratov Branch The Institute of RadioEngineering and Electronics of Russian Academy of Sciences Saratov State University Research Department Saratov Russia Institute of Cardiological Research Saratov State Medical University Regional Scientific and Educational Mathematical Center of the P.G. Demidov Yaroslavl State University Laboratory of Nonlinear Dynamics Modelling Saratov Branch The Institute of RadioEngineering and Electronics of Russian Academy of Sciences Saratov State University Research Department Saratov Russia Saratov State University Research Department Saratov Russia Institute of Cardiological Research Saratov State Medical University Saratov Russia Laboratory of Nonlinear Dynamics Modeling Saratov Branch The Institute of Radio Engineering and Electronics of Russian Academy of Sciences Saratov State University Research Department Saratov Russia Coordinating Center for Fundamental Research National Medical Research Center for Therapy and Preventive Medicine Russia Saratov Russia

ISBN: (数字)9781665461740

ISBN: (纸本)9781665461740

healthy heart rate is irregular, and numerical measures of its complexity, such as the largest Lyapunov exponent and the correlation dimension, are perspective early markers of cardiovascular diseases. However, the origin of irregularity in the cardiovascular system is still debated, which makes it harder to give the physiological interpretation to the complexity measures. According to a prominent hypothesis, the nonlinear bi-directional cardiovascular coupling could be a source of the complexity, but experimental investigation of this theory is limited by the limitation of modern measuring equipment, nonstationarity of real biological signals, and very strict restrictions on the designs of the active experiments imposed to insure the safety of the subjects. We investigated the role of bidirectional cardiovascular coupling using a mathematical model of cardiovascular system and respiratory systems. We simulated an active experiment with the blockade of the autonomic control of respiration, which disturbed the coupling, and then measured changes in the dynamics of the cardiovascular system using spectral analysis, statistical analysis and complexity measures. © 2022 IEEE.

关键词： Cardiovascular system

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