1
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Resmi VL, Sriya RG, Selvaganesan N. Baroreflex control model for cardiovascular system subjected to postural changes under normal and orthostatic conditions. Comput Methods Biomech Biomed Engin 2022:1-10. [PMID: 35901287 DOI: 10.1080/10255842.2022.2104123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Baroreflex dysfunction is one of the common causes associated with the cardiovascular system. The buffering capability and baroreflex gain influences large variation in blood pressure for short term control. For regulating the blood pressure, an integrated analytical model for baroreflex control along with the cardiovascular system is presented to study the complex interactions between autonomic nervous system and cardiovascular system. In the proposed model, the autonomic nervous system utilizes sympathetic and parasympathetic nerve activities. This comprises a heart modeled by Mulier's approach, systemic vasculature, baroreceptor sensor using stress-strain based Voigt model and Hodgkin-Huxley based autonomic nervous control. This model can handle the distribution of total blood volume changes under the influence of gravity upon postural changes by means of short term baroreflex control. The simulation is carried out for the integrated model along with (i) non pulsatile and (ii) pulsatile model of heart. The proposed model is validated for supine to standing position under influence of gravity. To show the efficiency of the proposed model, the simulation is carried out further for (i) postural changes like supine to standing and standing to supine under normal condition and (ii) Orthostatic hypotension and hypertension conditions. Also the robustness of the proposed pulsatile model is tested by introducing disturbance signal in mean arterial pressure under various postural changes.
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Affiliation(s)
- V L Resmi
- Department of Avionics, Indian Institute of Space Science and Technology, Thiruvananthapuram, Kerala, India
| | - R G Sriya
- Department of Avionics, Indian Institute of Space Science and Technology, Thiruvananthapuram, Kerala, India
| | - N Selvaganesan
- Department of Avionics, Indian Institute of Space Science and Technology, Thiruvananthapuram, Kerala, India
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2
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Markuleva M, Gerashchenko M, Gerashchenko S, Khizbullin R, Ivshin I. The Hemodynamic Parameters Values Prediction on the Non-Invasive Hydrocuff Technology Basis with a Neural Network Applying. SENSORS 2022; 22:s22114229. [PMID: 35684849 PMCID: PMC9185255 DOI: 10.3390/s22114229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 05/20/2022] [Accepted: 05/25/2022] [Indexed: 12/10/2022]
Abstract
The task to develop a mechanism for predicting the hemodynamic parameters values based on non-invasive hydrocuff technology of a pulse wave signal fixation is described in this study. The advantages and disadvantages of existing methods of recording the ripple curve are noted in the published materials. This study proposes a new hydrocuff method for hemodynamic parameters and blood pressure values measuring. A block diagram of the device being developed is presented. Algorithms for processing the pulse wave contour are presented. A neural network applying necessity for the multiparametric feature space formation is substantiated. The pulse wave contours obtained using hydrocuff technology of oscillation formation for various age groups are presented. According to preliminary estimates, by the moment of the dicrotic surge formation, it is possible to judge the ratio of the heart and blood vessels work, which makes it possible to form an expanded feature space of significant parameters based on neural network classifiers. This study presents the characteristics accounted for creating a database for training a neural network.
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Affiliation(s)
- Marina Markuleva
- Medical Cybernetics and Computer Science Department, Penza State University, 440026 Penza, Russia; marina-- (M.M.); (M.G.); (S.G.)
| | - Mikhail Gerashchenko
- Medical Cybernetics and Computer Science Department, Penza State University, 440026 Penza, Russia; marina-- (M.M.); (M.G.); (S.G.)
| | - Sergey Gerashchenko
- Medical Cybernetics and Computer Science Department, Penza State University, 440026 Penza, Russia; marina-- (M.M.); (M.G.); (S.G.)
| | - Robert Khizbullin
- Kazan State Power Engineering University, Krasnoselskaya, 51, 420066 Kazan, Russia;
- Correspondence:
| | - Igor Ivshin
- Kazan State Power Engineering University, Krasnoselskaya, 51, 420066 Kazan, Russia;
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3
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Model-based assessment of cardiopulmonary autonomic regulation in paced deep breathing. Methods 2022; 204:312-318. [PMID: 35447359 DOI: 10.1016/j.ymeth.2022.04.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 03/12/2022] [Accepted: 04/14/2022] [Indexed: 11/21/2022] Open
Abstract
Autonomic dysfunction can lead to many physical and psychological diseases. The assessment of autonomic regulation plays an important role in the prevention, diagnosis, and treatment of these diseases. A physiopathological mathematical model for cardiopulmonary autonomic regulation, namely Respiratory-Autonomic-Sinus (RSA) regulation Model, is proposed in this study. A series of differential equations are used to simulate the whole process of RSA phenomenon. Based on this model, with respiration signal and ECG signal simultaneously acquired in paced deep breathing scenario, we manage to obtain the cardiopulmonary autonomic regulation parameters (CARP), including the sensitivity of respiratory-sympathetic nerves and respiratory-parasympathetic nerves, the time delay of sympathetic, the sensitivity of norepinephrine and acetylcholine receptor, as well as cardiac remodeling factor by optimization algorithm. An experimental study has been conducted in healthy subjects, along with subjects with hypertension and coronary heart disease. CARP obtained in the experiment have shown their clinical significance.
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4
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Contribution of Cardiorespiratory Coupling to the Irregular Dynamics of the Human Cardiovascular System. MATHEMATICS 2022. [DOI: 10.3390/math10071088] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Irregularity is an important aspect of the cardiovascular system dynamics. Numerical indices of irregularity, such as the largest Lyapunov exponent and the correlation dimension estimated from interbeat interval time series, are early markers of cardiovascular diseases. However, there is no consensus on the origin of irregularity in the cardiovascular system. A common hypothesis suggests the importance of nonlinear bidirectional coupling between the cardiovascular system and the respiratory system for irregularity. Experimental investigations of this theory are severely limited by the capabilities of modern medical equipment and the nonstationarity of real biological systems. Therefore, we studied this problem using a mathematical model of the coupled cardiovascular system and respiratory system. We estimated and compared the numerical indices of complexity for a model simulating the cardiovascular dynamics in healthy subjects and a model with blocked regulation of the respiratory frequency and amplitude, which disturbs the coupling between the studied systems.
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5
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Karavaev AS, Skazkina VV, Borovkova EI, Prokhorov MD, Hramkov AN, Ponomarenko VI, Runnova AE, Gridnev VI, Kiselev AR, Kuznetsov NV, Chechurin LS, Penzel T. Synchronization of the Processes of Autonomic Control of Blood Circulation in Humans Is Different in the Awake State and in Sleep Stages. Front Neurosci 2022; 15:791510. [PMID: 35095399 PMCID: PMC8789746 DOI: 10.3389/fnins.2021.791510] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 12/09/2021] [Indexed: 01/09/2023] Open
Abstract
The influence of higher nervous activity on the processes of autonomic control of the cardiovascular system and baroreflex regulation is of considerable interest, both for understanding the fundamental laws of the functioning of the human body and for developing methods for diagnostics and treatment of pathologies. The complexity of the analyzed systems limits the possibilities of research in this area and requires the development of new tools. Earlier we propose a method for studying the collective dynamics of the processes of autonomic control of blood circulation in the awake state and in different stages of sleep. The method is based on estimating a quantitative measure representing the total percentage of phase synchronization between the low-frequency oscillations in heart rate and blood pressure. Analysis of electrocardiogram and invasive blood pressure signals in apnea patients in the awake state and in different sleep stages showed a high sensitivity of the proposed measure. It is shown that in slow-wave sleep the degree of synchronization of the studied rhythms is higher than in the awake state and lower than in sleep with rapid eye movement. The results reflect the modulation of the processes of autonomic control of blood circulation by higher nervous activity and can be used for the quantitative assessment of this modulation.
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Affiliation(s)
- Anatoly S. Karavaev
- Department of Basic Research in Neurocardiology, Institute of Cardiological Research, Saratov State Medical University, Saratov, Russia
- Smart Sleep Laboratory, 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
| | - Viktoriia V. Skazkina
- Smart Sleep Laboratory, Saratov State University, Saratov, Russia
- LUT School of Engineering Science, LUT University, Lappeenranta, Finland
| | - Ekaterina I. Borovkova
- Department of Basic Research in Neurocardiology, Institute of Cardiological Research, Saratov State Medical University, Saratov, Russia
- Smart Sleep Laboratory, 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
| | - Mikhail D. Prokhorov
- Smart Sleep Laboratory, 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
| | | | - Vladimir I. Ponomarenko
- Laboratory of Nonlinear Dynamics Modeling, Saratov Branch of the Institute of Radio Engineering and Electronics of Russian Academy of Sciences, Saratov, Russia
| | - Anastasiya E. Runnova
- Department of Basic Research in Neurocardiology, Institute of Cardiological Research, Saratov State Medical University, Saratov, Russia
- Smart Sleep Laboratory, Saratov State University, Saratov, Russia
| | - Vladimir I. Gridnev
- Department of Basic Research in Neurocardiology, Institute of Cardiological Research, Saratov State Medical University, Saratov, Russia
| | - Anton R. Kiselev
- Department of Basic Research in Neurocardiology, Institute of Cardiological Research, Saratov State Medical University, Saratov, Russia
- Smart Sleep Laboratory, Saratov State University, Saratov, Russia
- Coordinating Center for Fundamental Research, National Medical Research Center for Therapy and Preventive Medicine, Moscow, Russia
| | - Nikolay V. Kuznetsov
- LUT School of Engineering Science, LUT University, Lappeenranta, Finland
- Faculty of Mathematics and Mechanics, St. Petersburg State University, St. Petersburg, Russia
- Institute for Problems in Mechanical Engineering RAS, St. Petersburg, Russia
| | - Leonid S. Chechurin
- LUT School of Engineering Science, LUT University, Lappeenranta, Finland
- Faculty of Mathematics and Mechanics, St. Petersburg State University, St. Petersburg, Russia
| | - Thomas Penzel
- Smart Sleep Laboratory, Saratov State University, Saratov, Russia
- Interdisciplinary Sleep Medicine Center, Charité - Universitätsmedizin Berlin, Berlin, Germany
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6
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Li Z, Chen Y, Zeng X, Stephen S, Li Y, Li H, Dong L, He T, Zhang S, Yang P, Jiang W, Fan H. Clinical and hemodynamic insights into the use of internal iliac artery balloon occlusion as a prophylactic technique for treating postpartum hemorrhage. J Biomech 2021; 129:110827. [PMID: 34736088 DOI: 10.1016/j.jbiomech.2021.110827] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 09/02/2021] [Accepted: 10/16/2021] [Indexed: 11/19/2022]
Abstract
Recently, the effectiveness of internal iliac artery balloon occlusion (IIABO) for treating postpartum hemorrhage caused by pernicious placenta previa (PPP) has been questioned. We conducted a retrospective analysis and hemodynamic simulation to assess the IIABO's effectiveness. The retrospective analysis involved 480 patients with PPP, among which 288 underwent IIABO treatment and the remaining 192 were used as controls. Blood loss and preoperative indicators were recorded, and multiple regression analysis was applied to test the effect of preoperative indicators on blood loss. Hemorrhage mechanisms were simulated using a numerical model. Results suggested that no significant difference in blood loss (1836 ± 1440 ml vs. 1784 ± 1647 ml, p = 0.22) was observed between the two groups. In addition, preoperative indicators, including age, weight, gestational age, gravidity, parity, blood type, anemia, or diabetes, were not associated with blood loss. In the simulation, after the intra-iliac artery was blocked, blood loss was caused by a reversed flow in the intrapelvic arteries, uterine veins, and uterine venules. The ratio of the time-averaged hemorrhage velocity (TAHV) in the balloon group to that in the control group was lower than that obtained in a clinical study (13.0% vs. 88.9%); in the presence of collateral circulation, blood loss occurred from collateral circulation and uterine venules after IIABO intervention, and the TAHV was 60%-90% that of the control group, which was closer to the clinical results (88.9%). These results suggest that IIABO cannot effectively treat postpartum hemorrhage because of the collateral circulation and reversed flow in the uterine venules.
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Affiliation(s)
- Zhongyou Li
- Department of Applied Mechanics, Sichuan University, Chengdu 610065, China
| | - Yu Chen
- Department of Applied Mechanics, Sichuan University, Chengdu 610065, China; Medical Big Data Center, Sichuan University, Chengdu 610041, China.
| | - Xiaoxi Zeng
- Medical Big Data Center, Sichuan University, Chengdu 610041, China
| | - Salerno Stephen
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - Yi Li
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - Huafeng Li
- West China Second Hospital, Sichuan University, Chengdu 610041, China.
| | - Lihua Dong
- Department of Anatomy, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China
| | - Teng He
- Department of Applied Mechanics, Sichuan University, Chengdu 610065, China
| | - Shihong Zhang
- West China Second Hospital, Sichuan University, Chengdu 610041, China
| | - Pei Yang
- West China Second Hospital, Sichuan University, Chengdu 610041, China
| | - Wentao Jiang
- Department of Applied Mechanics, Sichuan University, Chengdu 610065, China
| | - Haidong Fan
- Department of Applied Mechanics, Sichuan University, Chengdu 610065, China
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7
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Karavaev AS, Ishbulatov YM, Prokhorov MD, Ponomarenko VI, Kiselev AR, Runnova AE, Hramkov AN, Semyachkina-Glushkovskaya OV, Kurths J, Penzel T. Simulating Dynamics of Circulation in the Awake State and Different Stages of Sleep Using Non-autonomous Mathematical Model With Time Delay. Front Physiol 2021; 11:612787. [PMID: 33519518 PMCID: PMC7838681 DOI: 10.3389/fphys.2020.612787] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 11/25/2020] [Indexed: 11/13/2022] Open
Abstract
We propose a mathematical model of the human cardiovascular system. The model allows one to simulate the main heart rate, its variability under the influence of the autonomic nervous system, breathing process, and oscillations of blood pressure. For the first time, the model takes into account the activity of the cerebral cortex structures that modulate the autonomic control loops of blood circulation in the awake state and in various stages of sleep. The adequacy of the model is demonstrated by comparing its time series with experimental records of healthy subjects in the SIESTA database. The proposed model can become a useful tool for studying the characteristics of the cardiovascular system dynamics during sleep.
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Affiliation(s)
- Anatoly S. Karavaev
- Saratov Branch of the Institute of Radio Engineering and Electronics of Russian Academy of Sciences, Saratov, Russia
- Smart Sleep Laboratory, Saratov State University, Saratov, Russia
- Department of Innovative Cardiological Information Technology, Saratov State Medical University, Saratov, Russia
| | - Yurii M. Ishbulatov
- Saratov Branch of the Institute of Radio Engineering and Electronics of Russian Academy of Sciences, Saratov, Russia
- Smart Sleep Laboratory, Saratov State University, Saratov, Russia
- Department of Innovative Cardiological Information Technology, Saratov State Medical University, Saratov, Russia
| | - Mikhail D. Prokhorov
- Saratov Branch of the Institute of Radio Engineering and Electronics of Russian Academy of Sciences, Saratov, Russia
- Smart Sleep Laboratory, Saratov State University, Saratov, Russia
| | - Vladimir I. Ponomarenko
- Saratov Branch of the Institute of Radio Engineering and Electronics of Russian Academy of Sciences, Saratov, Russia
| | - Anton R. Kiselev
- Department of Innovative Cardiological Information Technology, Saratov State Medical University, Saratov, Russia
| | - Anastasiia E. Runnova
- Smart Sleep Laboratory, Saratov State University, Saratov, Russia
- Department of Innovative Cardiological Information Technology, Saratov State Medical University, Saratov, Russia
| | | | | | - Jürgen Kurths
- Smart Sleep Laboratory, Saratov State University, Saratov, Russia
- Physics Department, Humboldt University of Berlin, Berlin, Germany
- Research Department Complexity Science, Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany
| | - Thomas Penzel
- Smart Sleep Laboratory, Saratov State University, Saratov, Russia
- Interdisciplinary Sleep Medicine Center, Charité – Universitätsmedizin Berlin, Berlin, Germany
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8
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Liu H, Liu S, Ma X, Zhang Y. A numerical model applied to the simulation of cardiovascular hemodynamics and operating condition of continuous-flow left ventricular assist device. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2020; 17:7519-7543. [PMID: 33378908 DOI: 10.3934/mbe.2020384] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
The mathematical modeling of the cardiovascular system is a simple and noninvasive method to comprehend hemodynamics and the operating mechanism of the mechanical circulatory assist device. In this study, a numerical model was developed to simulate hemodynamics under different conditions and to evaluate the operating condition of continuous-flow left ventricular assist device (LVAD). The numerical model consisted of a cardiovascular lumped parameter (CLP) model, a baroreflex model, and an LVAD model. The CLP model was established to simulate the human cardiovascular system including the left heart, right heart, systemic circulation, and pulmonary circulation. The baroreflex model was used to regulate left and right ventricular end-systolic elastances, systemic vascular resistance, and heart rate. The centrifugal pump HeartMate III used as an example to simulate the rotary pump dynamics at different operating speeds. Simulation results show that hemodynamics under normal, left ventricular failure and different levels of pump support conditions can be reproduced by the numerical model. Based on simulation results, HeartMate III operating speed can be maintained between 3600 rpm and 4400 rpm to avoid pump regurgitation and ventricular suction. Additionally, in the simulation system, the HeartMate III operating speed should be between 3600 rpm and 3800 rpm to provide optimal physiological perfusion. Thus, the developed numerical model is a feasible solution to simulate hemodynamics and evaluate the operating condition of continuous-flow LVAD.
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Affiliation(s)
- Hongtao Liu
- School of Electrical Engineering, Shandong University, Jinan 250061, China
| | - Shuqin Liu
- School of Electrical Engineering, Shandong University, Jinan 250061, China
| | - Xiaoxu Ma
- School of Electrical Engineering, Shandong University, Jinan 250061, China
| | - Yunpeng Zhang
- School of Electrical Engineering, Shandong University, Jinan 250061, China
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9
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Ishbulatov YM, Karavaev AS, Kiselev AR, Simonyan MA, Prokhorov MD, Ponomarenko VI, Mironov SA, Gridnev VI, Bezruchko BP, Shvartz VA. Mathematical modeling of the cardiovascular autonomic control in healthy subjects during a passive head-up tilt test. Sci Rep 2020; 10:16525. [PMID: 33020530 PMCID: PMC7536219 DOI: 10.1038/s41598-020-71532-7] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Accepted: 08/18/2020] [Indexed: 01/10/2023] Open
Abstract
A mathematical model is proposed for the autonomic control of cardiovascular system, which takes into account two separated self-exciting sympathetic control loops of heart rate and peripheral vascular tone. The control loops are represented by self-exciting time-delay systems and their tone depends on activity of the aortic, carotid, and lower-body baroreceptors. The model is used to study the dynamics of the adaptive processes that manifest in a healthy cardiovascular system during the passive head-up tilt test. Computer simulation provides continuous observation of the dynamics of the indexes and variables that cannot be measured in the direct experiment, including the noradrenaline concentration in vessel wall and heart muscle, tone of the sympathetic and parasympathetic control, peripheral vascular resistance, and blood pressure. In the supine and upright positions, we estimated the spectral characteristics of the model variables, especially in the low-frequency band, and the original index of total percent of phase synchronization between the low-frequency oscillations in heart rate and blood pressure signals. The model demonstrates good quantitative agreement with the dynamics of the experimentally observed indexes of cardiovascular system that were averaged for 50 healthy subjects.
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Affiliation(s)
- Yurii M Ishbulatov
- Department of Innovative Cardiological Information Technology, Institute of Cardiological Research, Saratov State Medical University, Saratov, Russia.,Department of Surgical Treatment for Interactive Pathology, Bakulev Scientific Center for Cardiovascular Surgery, Moscow, Russia
| | - Anatoly S Karavaev
- Department of Innovative Cardiological Information Technology, Institute of Cardiological Research, Saratov State Medical 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 Dynamic Modeling and Biomedical Engineering, Saratov State University, Saratov, Russia
| | - Anton R Kiselev
- Department of Innovative Cardiological Information Technology, Institute of Cardiological Research, Saratov State Medical University, Saratov, Russia. .,Department of Surgical Treatment for Interactive Pathology, Bakulev Scientific Center for Cardiovascular Surgery, Moscow, Russia. .,Department of Dynamic Modeling and Biomedical Engineering, Saratov State University, Saratov, Russia.
| | - Margarita A Simonyan
- Department of Atherocslerosis and Chronic Ischemic Heart Disease, Institute of Cardiological Research, Saratov, Russia
| | - Mikhail D Prokhorov
- Laboratory of Nonlinear Dynamics Modeling, Saratov Branch of the Institute of Radio Engineering and Electronics of Russian Academy of Sciences, Saratov, Russia
| | - Vladimir I Ponomarenko
- Laboratory of Nonlinear Dynamics Modeling, Saratov Branch of the Institute of Radio Engineering and Electronics of Russian Academy of Sciences, Saratov, Russia.,Department of Dynamic Modeling and Biomedical Engineering, Saratov State University, Saratov, Russia
| | - Sergey A Mironov
- Department of Innovative Cardiological Information Technology, Institute of Cardiological Research, Saratov State Medical University, Saratov, Russia
| | - Vladimir I Gridnev
- Department of Innovative Cardiological Information Technology, Institute of Cardiological Research, Saratov State Medical University, Saratov, Russia.,Department of Dynamic Modeling and Biomedical Engineering, Saratov State University, Saratov, Russia
| | - Boris P Bezruchko
- Laboratory of Nonlinear Dynamics Modeling, Saratov Branch of the Institute of Radio Engineering and Electronics of Russian Academy of Sciences, Saratov, Russia.,Department of Dynamic Modeling and Biomedical Engineering, Saratov State University, Saratov, Russia
| | - Vladimir A Shvartz
- Department of Surgical Treatment for Interactive Pathology, Bakulev Scientific Center for Cardiovascular Surgery, Moscow, Russia
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10
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Ishbulatov YM, Kiselev AR, Mureeva EN, Popova YV, Kurbako AV, Gridnev VI, Bezruchko BP, Simonyan MA, Borovkova EI, Posnenkova OM, Panina OS, Chernenkov YV, Karavaev AS. Diagnostics of coupling between low-frequency loops in cardiovascular autonomic control in adults, newborns and mathematical model using cross-recurrence analysis. RUSSIAN OPEN MEDICAL JOURNAL 2019. [DOI: 10.15275/rusomj.2019.0405] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
The aim of study is to investigate effectiveness of cross-recurrence analysis for the detection of coupling between the loops of heart rate and vessel tone sympathetic control. The cross-recurrence analysis is applied to the interbeat intervals and photopletysmographic signals from the mathematical model of cardiovascular system and from adults and newborn children. The model is examined under the conditions of the four experiments: with fully operational autonomic control, autonomic control weakened by 40%, autonomic control weakened by 70% and autonomic blockade. The coupling is most pronounced in adult subjects and the model with fully operational autonomic control, while it is absent under the autonomic blockade. Autonomic control is also not fully developed in newborn children. As the result, smaller coupling strength is expected. The results of cross-recurrence analysis of the model and experimental data are compared with the results of coupling detection based on the analysos of phase synchronization. Synchronization index demonstrates good correlation with the coupling strength in the model and weak coupling in newborn children in relation to adult subjects. In both cases, no correlation is observed between the synchronization index and the results of cross-recurrence analysis.
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Affiliation(s)
- Yurii M. Ishbulatov
- Saratov Branch of Kotelnikov Institute of Radio Engineering and Electronics of Russian Academy of Sciences
| | | | | | - Yulia V. Popova
- Saratov Branch of Kotelnikov Institute of Radio Engineering and Electronics of Russian Academy of Sciences
| | | | | | - Boris P. Bezruchko
- Saratov Branch of Kotelnikov Institute of Radio Engineering and Electronics of Russian Academy of Sciences
| | | | | | - Olga M. Posnenkova
- Saratov Branch of Kotelnikov Institute of Radio Engineering and Electronics of Russian Academy of Sciences
| | | | | | - Anatoly S. Karavaev
- Saratov Branch of Kotelnikov Institute of Radio Engineering and Electronics of Russian Academy of Sciences
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11
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Karavaev AS, Ishbulatov YM, Ponomarenko VI, Bezruchko BP, Kiselev AR, Prokhorov MD. Autonomic control is a source of dynamical chaos in the cardiovascular system. CHAOS (WOODBURY, N.Y.) 2019; 29:121101. [PMID: 31893640 DOI: 10.1063/1.5134833] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Accepted: 11/22/2019] [Indexed: 06/10/2023]
Abstract
The origin of complex irregular dynamics in a cardiovascular system is still being actively debated. Some hypotheses suggest the crucial role of stochastic modulation of cardiovascular parameters, while others argue for the importance of cardiac pacemakers' chaotic deterministic dynamics. In the present study, we estimate the largest Lyapunov exponent and the correlation dimension for the 4-h experimental interbeat intervals and the chaotic signals generated by the mathematical model of the cardiovascular system. We study the complexity of the mathematical model for such cases as the autonomic blockade, the exclusion of all the stochastic components, and the absence of variability of respiration. The obtained results suggest that the complexity of the heart rate variability is largely due to the chaotic dynamics in the loops of autonomic control of circulation.
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Affiliation(s)
- A S Karavaev
- Saratov Branch of the Institute of Radio Engineering and Electronics of Russian Academy of Sciences, Zelyonaya Street, 38, Saratov 410019, Russia
| | - Yu M Ishbulatov
- Saratov Branch of the Institute of Radio Engineering and Electronics of Russian Academy of Sciences, Zelyonaya Street, 38, Saratov 410019, Russia
| | - V I Ponomarenko
- Saratov Branch of the Institute of Radio Engineering and Electronics of Russian Academy of Sciences, Zelyonaya Street, 38, Saratov 410019, Russia
| | - B P Bezruchko
- Saratov Branch of the Institute of Radio Engineering and Electronics of Russian Academy of Sciences, Zelyonaya Street, 38, Saratov 410019, Russia
| | - A R Kiselev
- Department of Innovative Cardiological Information Technology, Institute of Cardiological Research, Saratov State Medical University, B. Kazachaya Street, 112, Saratov 410012, Russia
| | - M D Prokhorov
- Saratov Branch of the Institute of Radio Engineering and Electronics of Russian Academy of Sciences, Zelyonaya Street, 38, Saratov 410019, Russia
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12
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Murray GL, Colombo J. (r)Alpha Lipoic Acid Is a Safe, Effective Pharmacologic Therapy of Chronic Orthostatic Hypotension Associated with Low Sympathetic Tone. Int J Angiol 2019; 28:188-193. [PMID: 31548784 DOI: 10.1055/s-0038-1676957] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Chronic orthostatic hypotension (OH), affecting 10 to 30% of the elderly, is associated with falls, and increased morbidity and mortality. Current pharmacologic therapy can cause or worsen hypertension and fluid retention. (r)α lipoic acid (ALA), a powerful natural antioxidant, avoids those complications and may assist management of chronic neurogenic orthostatic hypotension (NOH). The purpose of this study is to demonstrate improvement in the symptoms of orthostatic dysfunction with r-ALA, including improved sympathetic (S) and blood pressure (BP) responses to head-up postural change (standing). A cohort of 109 patients with low S tone upon standing was detected using the ANX -3.0, Autonomic Monitor, ANSAR Medical Technologies, Inc., Philadelphia, PA. From the cohort, 29 patients demonstrated NOH (change in (∆) standing BP ≥ -20/-10 mm Hg); 60 patients demonstrated orthostatic intolerance (OI, ∆ standing systolic BP between -6 and -19 mm Hg). These 89 were given ALA orally: either 590 to 788 mg (r)ALA or 867 to 1,500 mg of the less expensive 50 to 50% mixture (r)ALA and inactive (s)ALA. Changes in their S and parasympathetic (P) tone, and BPs, were compared with 20 control patients during mean follow-up of 2.28 years. Nineteen of 29 (66%) NOH patients responded with a ∆ standing BP from -28/-6 mm Hg to 0/+2 mm Hg. Forty of 60 (67%) of patients with OI responded with a ∆ standing BP of -9/+1 mm Hg to +6/+2 mm Hg. Although all patients treated with ALA increased S tone, the ∆ BP depended upon the pretreatment of S tone. Those with the lowest S tone responded the least well. The only treatment side effects were nausea, intolerable in only 5%. Nausea improved with routine gastrointestinal medications. Glucose levels improved in the 28% of patients who were diabetic. Also, resting hypertension improved. Control patients had no ∆ BP and no increase in S tone. (r)ALA improves S-, and BP, responses to head-up postural change, and thereby NOH/OI, in a majority of patients without causing harmful side effects.
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Affiliation(s)
- Gary L Murray
- Cardiovascular Research, Heart-Vascular Institute, Germantown, Tennessee
| | - Joseph Colombo
- Autonomic Laboratory, Drexel University College of Medicine; Parasympathetic & Sympathetic Nervous System Consultant, Franklin Cardiovascular Associates, Pennsylvania.,ANSAR Medical Technologies, Inc., Philadelphia, Pennsylvania
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Shvartz VA, Kiselev AR, Bockeria OL. Heart rate variability in atrial septal defect both before and after operation. COR ET VASA 2019. [DOI: 10.1016/j.crvasa.2018.08.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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McCraty R, Atkinson M, Dispenza J. One-minute deep breathing assessment and its relationship to 24-h heart rate variability measurements. HEART AND MIND 2018. [DOI: 10.4103/hm.hm_4_19] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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