Manifestations of the interaction of arterial and venous hemodynamics when measuring blood pressure using the oscillometric technique
https://doi.org/10.25587/2222-5404-2026-23-2-59-77
Abstract
Digital devices for measuring blood pressure (BP) using a compression arm cuff, based on the oscillometric method of estimating BP, have been used in clinics and at home for over fifty years. Their operating principle is based on the test occlusion of brachial arteries and the assessment of their response. However, the individual properties of blood vessels and many hemodynamic features of the arm during occlusion are not taken into account. In this pilot study, the dynamics of interaction between the arterial and venous vascular beds of the upper limb during occlusion and decompression of the brachial artery in the course of blood pressure measurement by the standard oscillometric method were analyzed using synchronous recording of sphygmograms and dual-wavelength reflective pulse oximetry signals. It is hypothesized that significant spikes in the pulse oscillation envelope during cuff decompression are due to the autoregulatory response of the microcirculatory system during obstructed venous outflow. It is shown that recorded changes in the time delays between pulse signal fronts during decompression may reflect the transition between different hemodynamic regimes associated with the restoration of arterial inflow, venous outflow, and pulse wave velocity. The obtained results indicate the relevance of developing an expanded three-chamber model of the arm vascular network, as well as the creation of BP-monitors with additional remote sensors for recording peripheral hemodynamic parameters in order to enhance diagnostic capabilities for BP-monitors.
About the Authors
V. A. FiragoBelarus
Vladimir A. Firago – Doctor of Physical and Mathematical Sciences, Associate Professor, Professor at the Department of Quantum Radiophysics and Optoelectronics, Belarusian State University, Faculty of Radiophysics and Computer Technologies.
Minsk
A. V. Lebedevskiy
Belarus
Alexander V. Lebedevskiy – Senior Lecturer at the Department of Informatics and Computer Systems, Belarusian State University, Faculty of Radiophysics and Computer Technologies.
Minsk
V. M. Slodzinskaya
Belarus
Viktoria M. Slodzinskaya – Trainee Junior Researcher at the Research Laboratory of Information and Measurement Systems, Department of Informatics and Computer Systems, Belarusian State University, Faculty of Radiophysics and Computer Technologies.
Minsk
S. G. Slavinskiy
Belarus
Sergei G. Slavinskiy – Master’s Degree Student, Belarusian State University, Faculty of Radiophysics and Computer Technologies.
Minsk
A. I. Kubarko
Belarus
Aleksei I. Kubarko – Doctor of Medical Sciences, Professor, Professor at the Department of Normal Physiology, Belarusian State Medical University.
Minsk
N. V. Levkovich
Belarus
Nickolay V. Levkovich – Senior Lecturer at the Department of Informatics and Computer Systems, Belarusian State University, Faculty of Radiophysics and Computer Technologies.
Minsk
V. N. Karpov
Russian Federation
Vasiliy N. Karpov – Candidate of Medical Sciences (PhD), Senior Researcher at the Laboratory of Medical and Physical Research, Vladimirsky Moscow Regional Research Clinical Institute (MONIKI).
Moscow
D. A. Rogatkin
Russian Federation
Dmitry A. Rogatkin – Doctor of Technical Sciences, Head of the Laboratory of Medical and Physical Research, Vladimirsky Moscow Regional Research Clinical Institute (MONIKI).
Moscow
References
1. World Health Organization (WHO). Cardiovascular diseases. Key facts. WHO: 2025; 1–7. Available at: https://www.who.int/ru/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds) [Accessed 30 November 2025].
2. Campbell NRC, Padwal R, Picone DS, Su H, Sharman JE. The impact of small to moderate inaccuracies in assessing blood pressure on hypertension prevalence and control rates. Journal of Clinical Hypertension (Greenwich): 2020; 22(6):939-42. DOI:10.1111/jch.13915.
3. Sharman JE, Tan I, Stergiou GS, et al. Automated ‘oscillometric’ blood pressure measuring devices: how they work and what they measure. Journal of Human Hypertension: 2023;37: 93–100. DOI:10.1038/s41371-022-00693-x.
4. Posokhov IN, Moroz-Vodolazhskaya NN. The oscillometric method: what is it and is it suitable for measuring blood pressure in all patients? Cardiovascular Therapy and Prevention: 2024;23(9):4075. (in Russ.). DOI:10.15829/1728-8800-2024-4075
5. Kumar S, Yadav S, Kumar A. Accuracy of oscillometric-based blood pressure monitoring devices: impact of pulse volume, arrhythmia, and respiratory artifact. Journal of Human Hypertension: 2024;38(1):45-51. DOI:10.1038/s41371-023-00856-4.
6. Sharman JE, Tan I, Stergiou GS, et al. Automated ‘oscillometric’ blood pressure measuring devices: How they work and what they measure. Journal of Human Hypertension: 2023;37: 93–100.
7. Vinogradova OL, Borovik AS, Zhedyaev RY, et al. Respiratory sinus arrhythmia: physiological mechanisms and relationship with systemic blood pressure fluctuations. Human Physiology: 2024;50(3):102–113. DOI:10.31857/S0131164624030086.
8. Silva H, Ferreira HA, da Silva HP et al. The Venoarteriolar Reflex Significantly Reduces Contralateral Perfusion as Part of the Lower Limb Circulatory Homeostasis in vivo. Front. Physiol: 2018; 9:1123. DOI:10.3389/fphys.2018.01123.
9. Kubarko AI, Mansurov VA, Svetlichny AD, et al. Pulse wave propagation through small vessels: measurement results and modeling approaches. Emergency cardiology and cardiovascular risks: 2020; 4(2):1037–1044. (In Russ.).
10. Tarasov AP, Karpov VN, Rogatkin DA. Evaluation Model of Microhemodynamics in Finger Skin at Arterial Occlusion and Post-Occlusive Hyperemia. Fluids: 2025;10(12):314. DOI: 10.3390/fluids10120314.
11. Jackson W. Myogenic Tone in Peripheral Resistance Arteries and Arterioles: The Pressure Is On! Frontiers in Physiology: 2021;12:699517. DOI: 10.3389/fphys.2021.699517.
12. Recommended Configurations and Operating Profiles for MAX30101/MAX30102 EV Kits. UG6409. Rev 0; 3/18. – 36 p.
13. Babbs CF. Oscillometric measurement of systolic and diastolic blood pressures validated in a physiologic mathematical model. BioMedical Engineering OnLine: 2012;11:56. DOI:10.1186/1475-925X-11-56.
14. Mersich A, Jobbágy A. Identification of the cuff transfer function increases indirect blood pressure measurement accuracy. Physiological Measurement: 2009; 30(3):323–333. DOI:10.1088/0967-3334/30/3/007.
15. Firago VA. Possibilities of diffusion spectroscopy with spatial resolution in determining hydration and parameters of the microcirculatory bed of biological tissues. Journal of Applied Spectroscopy: 2024;91(3):378–393. (in Russ.).
16. Firago VA. Assessment of the stiffness of small arterial vessels of superficial biotissues and their spectral-temporal diffuse light reflection profiles. Journal of Applied Spectroscopy: 2024;91(1):107–123. (in Russ.).
Review
For citations:
Firago V.A., Lebedevskiy A.V., Slodzinskaya V.M., Slavinskiy S.G., Kubarko A.I., Levkovich N.V., Karpov V.N., Rogatkin D.A. Manifestations of the interaction of arterial and venous hemodynamics when measuring blood pressure using the oscillometric technique. Vestnik of North-Eastern Federal University. 2026;23(2):59-77. (In Russ.) https://doi.org/10.25587/2222-5404-2026-23-2-59-77
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