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

Authors :
Tetiana M. Nikitchuk
Oleksandr V. Andreiev
Oksana L. Korenivska
Mykhailo G. Medvediev
Source :
Journal of Edge Computing, Vol 2, Iss 1 (2023)
Publication Year :
2023
Publisher :
Academy of Cognitive and Natural Sciences, 2023.

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.

Details

Language :
English
ISSN :
2837181X
Volume :
2
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Journal of Edge Computing
Publication Type :
Academic Journal
Accession number :
edsdoj.9e904ae31f1846a1950801740000596c
Document Type :
article
Full Text :
https://doi.org/10.55056/jec.627