A Cardiovascular Model for the Development of Mathematical Algorithms for Non-invasive Continuous Blood Pressure Determination
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F22%3A10252483" target="_blank" >RIV/61989100:27240/22:10252483 - isvavai.cz</a>
Výsledek na webu
<a href="https://ieeexplore.ieee.org/document/9991506/references#references" target="_blank" >https://ieeexplore.ieee.org/document/9991506/references#references</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/EHB55594.2022.9991506" target="_blank" >10.1109/EHB55594.2022.9991506</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
A Cardiovascular Model for the Development of Mathematical Algorithms for Non-invasive Continuous Blood Pressure Determination
Popis výsledku v původním jazyce
In the human body, a regulated change of hemodynamic parameters and the possibility of repetitive sensing for refinement and finding other algorithms for continuous measurement of blood pressure non-invasively is not possible. To detect relationships, processes, and dependencies in the human body without the need for invasive input, attention should be paid to the creation of an ideal controlled cardiovascular system with the possibility of controlled change of hemodynamic parameters, repetitive sensing of set simulated biological signals with a known resulting reference pressure measured by a sensor. The cardiovascular model opens the door to the possibility of trackiyang dependencies in the human body and thus finding more robust algorithms to measure continuous blood pressure non-invasively. The cardiovascular model allows hemodynamic parameters that cannot be changed in a controlled manner in the human body to be changed in a controlled manner, thus allowing the determination of blood pressure dependencies on hemodynamic parameters and the time required for the pressure wave to be transmitted between two locations. Attention is paid to the development of a cardiovascular model and subsequent testing of the correct function of the model using an algorithm for measuring continuous blood pressure non-invasively for physiological parameters. The results show that a model of the cardiovascular system has been developed for subsequent testing and search for further algorithms and relationships to measure continuous blood pressure non-invasively more accurately. (C) 2022 IEEE.
Název v anglickém jazyce
A Cardiovascular Model for the Development of Mathematical Algorithms for Non-invasive Continuous Blood Pressure Determination
Popis výsledku anglicky
In the human body, a regulated change of hemodynamic parameters and the possibility of repetitive sensing for refinement and finding other algorithms for continuous measurement of blood pressure non-invasively is not possible. To detect relationships, processes, and dependencies in the human body without the need for invasive input, attention should be paid to the creation of an ideal controlled cardiovascular system with the possibility of controlled change of hemodynamic parameters, repetitive sensing of set simulated biological signals with a known resulting reference pressure measured by a sensor. The cardiovascular model opens the door to the possibility of trackiyang dependencies in the human body and thus finding more robust algorithms to measure continuous blood pressure non-invasively. The cardiovascular model allows hemodynamic parameters that cannot be changed in a controlled manner in the human body to be changed in a controlled manner, thus allowing the determination of blood pressure dependencies on hemodynamic parameters and the time required for the pressure wave to be transmitted between two locations. Attention is paid to the development of a cardiovascular model and subsequent testing of the correct function of the model using an algorithm for measuring continuous blood pressure non-invasively for physiological parameters. The results show that a model of the cardiovascular system has been developed for subsequent testing and search for further algorithms and relationships to measure continuous blood pressure non-invasively more accurately. (C) 2022 IEEE.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
20201 - Electrical and electronic engineering
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
2022 E-Health and Bioengineering Conference, EHB 2022
ISBN
978-1-66548-558-6
ISSN
2575-5137
e-ISSN
2575-5145
Počet stran výsledku
4
Strana od-do
—
Název nakladatele
IEEE
Místo vydání
Piscataway
Místo konání akce
Jasy
Datum konání akce
17. 11. 2022
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—