Model of an automated biotechnical system for analyzing pulseograms as a kind of edge devices

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Tetiana M. Nikitchuk
https://orcid.org/0000-0002-9068-931X
Oleksandr V. Andreiev
https://orcid.org/0000-0002-2601-1491
Oksana L. Korenivska
https://orcid.org/0000-0002-3735-7690
Mykhailo G. Medvediev
https://orcid.org/0000-0002-3884-1118

Abstract

The rapid development of computer biometrics over the past 2-3 decades is largely due to the development and widespread introduction into clinical practice of new methods of studying human body health, including pulse methods. It is possible to judge changes in hemodynamic characteristics, heart rate, and blood flow rate in the studied part of the body based on the parameters of the pulse wave signal. At the same time, the physical processes of the formation of the pulse wave shape have not been fully studied, although the number of biophysical models of blood circulation is quite significant. The development of such a model will allow us to effectively apply modern developments in digital signal processing to the pulse wave and increase its diagnostic value. A qualitative model of pulse signal can be entrusted to the development of the base unit of the biotechnical system as a type of edge device. The work is devoted to the improvement of methods of rapid diagnosis of the cardiovascular system based on the analysis of model pulse-grams. An adequate mathematical model of the pulse wave, which corresponds to real pulse signals in different states of the human body and contains mathematical relationships between the main parameters of pulse-grams, has been refined. The algorithm of express diagnostics with the established criteria of the analysis of pulsograms is offered.

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How to Cite
Nikitchuk, T.M., Andreiev, O.V., Korenivska, O.L. and Medvediev, M.G., 2023. Model of an automated biotechnical system for analyzing pulseograms as a kind of edge devices. Journal of Edge Computing [Online], 2(1), pp.64–83. Available from: https://doi.org/10.55056/jec.627 [Accessed 8 December 2024].
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How to Cite

Nikitchuk, T.M., Andreiev, O.V., Korenivska, O.L. and Medvediev, M.G., 2023. Model of an automated biotechnical system for analyzing pulseograms as a kind of edge devices. Journal of Edge Computing [Online], 2(1), pp.64–83. Available from: https://doi.org/10.55056/jec.627 [Accessed 8 December 2024].
Received 2022-09-19
Accepted 2023-05-13
Published 2023-05-17

References

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