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Possibility to Detect Glycemia with Heart Rate Variability in Patients with Type 2 Diabetes Mellitus in a Non-Invasive Glycemic Monitoring System
P. 177–181.
Zhukova L., Novikov R., Novopashin M.
Two versions of the mathematical model that detect different glycemia cases using heart rate variability (HRV) values taking into account the patient age have been developed and evaluated. HRV and glucose data have been obtained from 128 patients with type 2 diabetes mellitus (T2DM). Based on the evaluation results, the fundamental possibility of developing a non-invasive glycemia monitoring system based on one of the model variants has been confirmed. To increase the accuracy of the model, it is necessary to conduct a similar study involving patients without annotated type 2 diabetes.
In book
Los Alamitos, Washington, Tokyo: IEEE Computer Society, 2019.
Volodina M., Ossadtchi A., Makarova M. et al., В кн.: Когнитивная наука в Москве: новые исследования. Материалы конференции 25 – 26 июня 2025.: М.: Буки Веди, 2025.
It is known that the motor cortex exhibits increased excitability during the systolic phase of the cardiac cycle (Al et al., 2023). Previous studies have shown that self-observation can enhance interoceptive sensitivity (Ainley et al., 2012). We hypothesized that visual stimuli enhancing bodily awareness could influence the relationship between the phase of the cardiac cycle and ...
Added: September 9, 2025
Evgeniia I. Alshanskaia, Portnova G., Liaukovich K. et al., Frontiers in Neuroscience 2024 Vol. 18 Article 1445697
Objectives: Pupil dilation is controlled both by sympathetic and parasympathetic nervous system branches. We hypothesized that the dynamic of pupil size changes under cognitive load with additional false feedback can predict individual behavior along with heart rate variability (HRV) patterns and eye movements reflecting specific adaptability to cognitive stress. To test this, we employed an ...
Added: September 2, 2024
Evgeniia I. Alshanskaia, Natalia A. Zhozhikashvili, Irina S. Polikanova et al., Frontiers in Psychiatry 2024 Vol. 15 Article 1355846
Introduction: Understanding the interplay between cardiovascular parameters, cognitive stress induced by increasing load, and mental well-being is vital for the development of integrated health strategies today. By monitoring physiological signals like electrocardiogram (ECG) and photoplethysmogram (PPG) in real time, researchers can discover how cognitive tasks influence both cardiovascular and mental health. Cardiac biomarkers resulting from ...
Added: July 1, 2024
Михайлов А. Ф., Потехина Ю. П., Секирин А. Б. et al., Профилактическая медицина 2023 Т. 26 № 2 С. 100 – 105
Chronic stress in combination with a sedentary lifestyle is an important etiopathogenetic factor for chronic non-communicable diseases in working-age people. The preventive healing methods developed according to China’s medical tradition — known collectively as qigong — have demonstrated a significant clinical efficiency. Objective. To assess the impact of the qigong-based health system on the regulatory ...
Added: March 19, 2024
Borovkova E., Ponomarenko V., Karavaev A. et al., Mathematics 2023 Vol. 11 Article 4903
We propose for the first time a method for extracting the instantaneous phases of respiration from the signal of a photoplethysmogram (PPG). In addition to the instantaneous phases of respiration, this method allows for more accurately extracting the instantaneous frequencies of respiration from a PPG than other methods. The proposed method is based on a ...
Added: December 20, 2023
Cortical and autonomic responses during staged Taoist meditation: two distinct meditation strategies
Volodina M., Smetanin N., Lebedev M. et al., Plos One 2021 Vol. 16 No. 12 Article e0260626
Meditation is a consciousness state associated with specific physiological and neural correlates. Numerous investigations of these correlates reported controversial results which prevented a consistent depiction of the underlying neurophysiological processes. Here we investigated the dynamics of multiple neurophysiological indicators during a staged meditation session. We measured the physiological changes at rest and during the guided ...
Added: November 18, 2021
Volodina M., Smetanin N., Anna Rusinova et al., , in: 2021 Third International Conference Neurotechnologies and Neurointerfaces (CNN).: IEEE, 2021. P. 118–120.
Added: November 18, 2021
Kuznetsov V. V., Moskalenko V. A., Gribanov D. et al., Frontiers in Genetics 2021 Article 638191
We propose a method for generating an electrocardiogram (ECG) signal for one cardiac cycle using a variational autoencoder. Our goal was to encode the original ECG signal using as few features as possible. Using this method we extracted a vector of new 25 features, which in many cases can be interpreted. The generated ECG has ...
Added: October 29, 2021
External validation of a deep learning electrocardiogram algorithm to detect ventricular dysfunction
Attia, I. Z., Tseng, A. S., Benavente, E. D. et al., International Journal of Cardiology 2021 No. 329 P. 130–135
Objective: To validate a novel artificial-intelligence electrocardiogram algorithm(AI-ECG) to detect left ventricular
systolic dysfunction (LVSD) in an external population.
Background: LVSD, even when asymptomatic, confers increased morbidity and mortality. We recently derived
AI-ECG to detect LVSD using ECGs based on a large sample of patients treated at the Mayo Clinic.
Methods: We performed an external validation study with subjects ...
Added: June 10, 2021
Arutyunova K. R., Bakhchina A. V., Sozinova I. M. et al., Heliyon 2020 Vol. 6 No. 11 P. e05394
Recent research strongly supports the idea that cardiac activity is involved in the organisation of behaviour,
including social behaviour and social cognition. The aim of this work was to explore the complexity of heart rate
variability, as measured by permutation entropy, while individuals were making moral judgements about harmful
actions and omissions. Participants (N ¼ 58, 50% women, ...
Added: December 28, 2020
Sozinova I. M., Arutyunova K. R., Alexandrov Y., Studies in Computational Intelligence 2020 Vol. 856 P. 138–143
Variability in beat-to-beat heart activity reflects the dynamics of
heart-brain interactions. From the positions of the system evolutionary theory,
any behaviour is based on simultaneous actualization of functional systems
formed at different stages of phylo- and ontogenesis. Each functional system is
comprised by neurons and other body cells, the activity of which contributes to
achieving an adaptive outcome for the ...
Added: December 28, 2020
Муртазина Е. П., Матюлько И. С., Журавлев Б. В. et al., Журнал медико-биологических исследований 2019 Т. 7 № 3 С. 349–362
This article provides a review of literature data about the effect of social relations and interactions between people in different contexts on the body’s somatoautonomic indices. It has been demonstrated that electrodermal resistance, electrodermal response, as well as heart rate variability and respiration variability are physiological indicators of social relations and personal interactions. Changes in these indices in ...
Added: December 10, 2020
Novikov R., Zhukova L., Novopashin M., , in: Actual Problems of Systems and Software Engineering APSSE 2019 (Invited Papers).: Los Alamitos, Washington, Tokyo: IEEE Computer Society, 2019. P. 177–181.
Two versions of the mathematical model that detect different glycemia cases using heart rate variability (HRV) values taking into account the patient age have been developed and evaluated. HRV and glucose data have been obtained from 128 patients with type 2 diabetes mellitus (T2DM).
Based on the evaluation results, the fundamental possibility of developing a non-invasive ...
Added: December 8, 2020
Shkolnikova M., Ildarova R., Jdanov D. et al., BMC Cardiovascular Disorders 2021 Vol. 21 P. 1–12
Background
In Russia, cardiovascular disease (CVD) mortality is high and the mortality gap between men and women is large. Conventional risk factors cannot explain these phenomena. Ventricular arrhythmia (VA) is an important contributor to the death toll in community-based populations. The study examines the prevalence and the mortality impacts of VA in men and women and ...
Added: November 20, 2020
Evstafiev D., Ильницкий А. М., Russia in Global Affairs 2020 Т. 18 № 4 С. 58–68
To enter the new level of perspectives the system of global politics and economy will inevitable pass through the period of chaotization ...
Added: November 1, 2020
Golosheykin S., Grant J., Novak O. et al., International Journal of Psychophysiology 2017 Vol. 115 P. 65–73
Heart rate variability (HRV) is the variation of cardiac inter-beat intervals over time resulting largely from the interplay between the sympathetic and parasympathetic branches of the autonomic nervous system. Individual differences in HRV are associated with emotion regulation, personality, psychopathology, cardiovascular health, and mortality. Previous studies have shown significant heritability of HRV measures. Here we extend genetic research on ...
Added: December 9, 2019
Strizhova E., Evdokimenko A., Организационная психология 2019 Т. 9 № 1 С. 34–56
Purpose: is to try and to show the opportunities and prospects of wearable technologies in the performance management and HR practice.
Approach: the study combines HRV monitoring data, KPI data and psychological diagnostics data. Among the indicators of HRV, the stress index is one of the most informative for characterizing the stress states of the central ...
Added: March 13, 2019
Shmid A., Новопашин М. А., Березин А. А. et al., Clinical Cardiology and Cardiovascular Interventions 2018 No. 1-10004 P. 1–8
The mass application of mobile cardiographs already leads to both explosive quantitative growth of the number of patients available for ECG study, registered daily outside the hospital (Big DATA in cardiology), and to the emergence of new qualitative opportunities for the study of long-term oscillatory processes (weeks, months, years) of the dynamics of the individual ...
Added: November 15, 2018
Bakhchina A., Arutyunova K., Sozinov A. et al., Entropy 2018 Vol. 20 No. 6 P. 1–22
Cardiac activity is involved in the processes of organization of goal-directed behaviour. Each behavioural act is aimed at achieving an adaptive outcome and it is subserved by the actualization of functional systems consisting of elements distributed across the brain and the rest of the body. This paper proposes a system-evolutionary view on the activity of ...
Added: October 15, 2018