Model of an automated biotechnical system for analyzing pulseograms as a kind of edge devices
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 ra...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Academy of Cognitive and Natural Sciences
2023-05-01
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| Series: | Journal of Edge Computing |
| Subjects: | |
| Online Access: | https://acnsci.org/journal/index.php/jec/article/view/627 |
| _version_ | 1797361811782107136 |
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| author | Tetiana M. Nikitchuk Oleksandr V. Andreiev Oksana L. Korenivska Mykhailo G. Medvediev |
| author_facet | Tetiana M. Nikitchuk Oleksandr V. Andreiev Oksana L. Korenivska Mykhailo G. Medvediev |
| author_sort | Tetiana M. Nikitchuk |
| collection | DOAJ |
| description |
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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| first_indexed | 2024-03-08T15:59:44Z |
| format | Article |
| id | doaj.art-9e904ae31f1846a1950801740000596c |
| institution | Directory Open Access Journal |
| issn | 2837-181X |
| language | English |
| last_indexed | 2024-03-08T15:59:44Z |
| publishDate | 2023-05-01 |
| publisher | Academy of Cognitive and Natural Sciences |
| record_format | Article |
| series | Journal of Edge Computing |
| spelling | doaj.art-9e904ae31f1846a1950801740000596c2024-01-08T12:04:36ZengAcademy of Cognitive and Natural SciencesJournal of Edge Computing2837-181X2023-05-012110.55056/jec.627Model of an automated biotechnical system for analyzing pulseograms as a kind of edge devicesTetiana M. Nikitchuk0Oleksandr V. Andreiev1Oksana L. Korenivska2Mykhailo G. Medvediev3Zhytomyr Polytechnic State UniversityZhytomyr Polytechnic State UniversityZhytomyr Polytechnic State UniversityADA University 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. https://acnsci.org/journal/index.php/jec/article/view/627edge devicemodelpulse signalpulse waveformphase planephase portrait |
| spellingShingle | Tetiana M. Nikitchuk Oleksandr V. Andreiev Oksana L. Korenivska Mykhailo G. Medvediev Model of an automated biotechnical system for analyzing pulseograms as a kind of edge devices Journal of Edge Computing edge device model pulse signal pulse waveform phase plane phase portrait |
| title | Model of an automated biotechnical system for analyzing pulseograms as a kind of edge devices |
| title_full | Model of an automated biotechnical system for analyzing pulseograms as a kind of edge devices |
| title_fullStr | Model of an automated biotechnical system for analyzing pulseograms as a kind of edge devices |
| title_full_unstemmed | Model of an automated biotechnical system for analyzing pulseograms as a kind of edge devices |
| title_short | Model of an automated biotechnical system for analyzing pulseograms as a kind of edge devices |
| title_sort | model of an automated biotechnical system for analyzing pulseograms as a kind of edge devices |
| topic | edge device model pulse signal pulse waveform phase plane phase portrait |
| url | https://acnsci.org/journal/index.php/jec/article/view/627 |
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