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2,027 people of both sexes, different ages and health conditions were examined. Arterial oscillograms were recorded at rest (lying down, sitting, on the right and left arm), under the influence of various (physical, thermal, multimedia, etc.) factors. In total, more than 4,000 oscillograms were registered and analyzed.

The use of electronic tonometers with support for methods of analysis of arterial oscillograms makes it possible to expand the information capabilities of the process of measuring blood pressure by implementing methods of morphological, temporal, spectral cluster analysis of arterial oscillograms.

For their implementation there is a close-knit team of specialists that provides quality and convenient implementation. For development we have experience to use Machine Learning Methods (Mathlab, Python), cloud computing services (Python), web solutions - technology stack Angular 2+, Nodejs, Mongodb. Experience of integration with the NSSU database.

Their application makes it possible to determine:

  • The state of the cardiovascular and autonomic nervous systems;
  • The level of management of CCC activities at rest and under the influence of external factors;
  • CCC functionality and its adaptability to various environmental factors;
  • Mechanisms of adaptation to the influence of external factors;
  • The state of blood vessels ("peripheral heart"): vascular tone, their elasticity, reflex excitability under the influence of different levels of compression, neuro-reflex effects on their condition;
  • Health level, premorbid conditions, effectiveness of preventive and rehabilitation measures.

Publications:

MONOGRAPH

Vakulenko DV Information system of morphological, temporal, frequency and correlation analysis of arterial oscillograms in physical rehabilitation: monograph / DV Vakulenko. - Ternopil: TSMU, 2015. - 212 p.

REVIEW

METHODOLOGICAL RECOMMENDATIONS OF THE MINISTRY OF HEALTH OF UKRAINE

Martsenyuk. VP INFORMATION TECHNOLOGIES OF ANALYSIS OF ARTERIAL OSCILLOGRAPHS IN DIAGNOSIS OF CARDIOVASCULAR SYSTEM (methodical recommendations)

REVIEW

ARTICLES

REVIEW

1. Martsenyuk V, Vakulenko D, Vakulenko L, Kłos-Witkowska A, Kutakova O. Information System of Arterial Oscillography for Primary Diagnostics of Cardiovascular Diseases. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 17th International Conference, CISIM 2018; 2018 Sep 27-29; Olomouc, Czech Republic. Berlin: Springer; 2018: Р. 46-56.

REVIEW

2. Dmytro V. Vakulenko, Vasyl P. Martseniuk, Liudmyla O. Vakulenko, Petro R. Selskyi, Oksana V. Kutakova, Olena V. Gevko, Taras B. Kadobnyj (2019) Cardiovascular system adaptability to exercise according to morphological, temporal, spectral and correlation analysis of oscillograms / Family Medicine & Primary Care Review 2019; 21(3): 253–263. DOI

REVIEW

3. Mintser O., Martsenyuk V., Vakulenko D. (2020) On Data Mining Technique for Differential Diagnostics Based on Data of Arterial Oscillography. In: Zawiślak S., Rysiński J. (eds) Engineer of the XXI Century. Mechanisms and Machine Science, vol 70. Springer, Cham.

REVIEW

4. Martsenyuk, V.P., Vakulenko, D.V., Hryshchuk, L.A., Vakulenko, L.O., Kravets, N.O., Klymuk, N.Y. On the Development of Directed Acyclic Graphs in Differential Diagnostics of Pulmonary Diseases with the Help of Arterial Oscillogram Assessment (2022) Mechanisms and Machine Science, 107, pp. 157-173.

REVIEW

5. Dmytro Vakulenko, Liudmyla Vakulenko, Leonid Hryshchuk and Lesya Sas Aplication Arterial Oscilography to Study the Adaptive Capacity of Subject with COVID-19 in Primary Care Submitted: May 10th 2021Reviewed: May 25th 2021Published: August 19th 2021 DOI: 10.5772/intechopen.98570

REVIEW

6. Vakulenko DV Application of morphological analysis of arterial oscillograms to assess the dynamics of hemodynamic parameters in the Martin-Kushelevsky test // Bulletin of medical and biological research. 2 (8), 2021

REVIEW

7. Additional publications

PATENTS

1. Pat. for utility model № 99425 Ukraine, IPC A61B 5/02 (2006.01). Method of assessing the state of the cardiovascular system using methods of temporal analysis of the oscillogram / DV Vakulenko; - № u201410486; declared 25.09.14; publ. 10.06.15, Bull. № 11.

2. Pat. for utility model № 98210 Ukraine, IPC A61B 5/02 (2006.01). Method of assessing the state of the cardiovascular system using the methods of spectral analysis of the oscillogram / DV Vakulenko. - № u201410489; declared 27.09.14; publ. 27.04.15, Bull. № 8.

3. Pat. for utility model № 99426 Ukraine, IPC A61B 5/02 (2006.01). Method of assessing the state of the cardiovascular system using methods of morphological analysis of the oscillogram / DV Vakulenko. - № u201410489; declared 25.09.14; publ. 10.06.15, Bull. № 11.

4. Pat. for utility model № 104133 Ukraine, IPC A61B 5/02 (2006.01). Method of constructing a correlation portrait of the cardiovascular system based on the analysis of the arterial oscillogram / DV Vakulenko, LO Vakulenko, NO Kravets. - № u201507212; declared 17.07.15; publ. 12.01.16, Bull. № 1.

5. Pat. for utility model № 132078 Ukraine, IPC A61B5 / 01, A61B5 / 02, A61B5 / 0205. METHOD OF ASSESSMENT OF PREOPERATIVE STRESS (PREOPERATIVE ANXIETY) WITH THE HELP OF ARTERIAL OSCILLOGRAPHY, Yakymchuk Oleksandr Mykolayovych, Klishch Ivan Mykolayovych, Klishch Ivan Mykolayovych, Klishch Ivan Mykolayovych. - № u201809117; declared 03/09/2018; publ. 02/11/2019

6. Pat. for utility model № 132078 Ukraine, IPC A61B5 / 01, A61B5 / 02, A61B5 / 0205. METHOD OF ASSESSMENT OF PREOPERATIVE STRESS (PREOPERATIVE ANXIETY) WITH THE HELP OF ARTERIAL OSCILLOGRAPHY, Yakymchuk Oleksandr Mykolayovych, Klishch Ivan Mykolayovych, Klishch Ivan Mykolayovych, Klishch Ivan Mykolayovych. - № u201809117; declared 03/09/2018; publ. 02/11/2019