?
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.
Novikov R., Zhukova L., 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.
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
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
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
Zhukova L., Novikov R., 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 ...
Added: January 18, 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
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
Alexander N. Varnavsky, Sinitsina N., , in: 2016 5th Mediterranean Conference on Embedded Computing, MECO 2016 - Including ECyPS 2016, BIOENG.MED 2016, MECO: Student Challenge 2016.: IEEE, 2016. P. 405–409.
In the paper a method of determination the driver's psycho-emotional state parameters is described. The determination is performed in time domain on the basis of a non-linear integral electrocardiosignal analysis. It is proposed to generate a threshold level dynamically for increase the reliability of time samples parameters determination, taking into account the value of the ...
Added: October 5, 2018