Mechanical blender control for closed-loop oxygenation feedback control systems
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F24%3A00370019" target="_blank" >RIV/68407700:21460/24:00370019 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1007/978-3-031-62520-6_41" target="_blank" >http://dx.doi.org/10.1007/978-3-031-62520-6_41</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-62520-6_41" target="_blank" >10.1007/978-3-031-62520-6_41</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Mechanical blender control for closed-loop oxygenation feedback control systems
Popis výsledku v původním jazyce
Premature newborns often suffer from airway disease and require mechanical invasive or non-invasive ventilatory support. This article briefly discusses oxygen therapy options for neonates, including automated FiO2 closed-loop systems. The aim of this study is to construct a computer-controlled system to control a mechanical oxygen-air blender. Such a device will serve as a tool for designing and testing feedback control algorithms for oxygenation with short and clearly described delays of oxygen distribution in the ventilation circuit. The system was implemented using a stepper motor attached to the blender shaft with the design printed on a 3D printer. The motor was controlled through the Arduino platform and the whole system was controlled by software developed in the Matlab Simulink environment. The result of this work is a working system for controlling the oxygen fraction in the inspired mixture on a Sechrist Low Flow mechanical oxygen-air blender. The system was verified under laboratory conditions. The system delay was measured for two different fraction changes and four different flow rates. The results of the laboratory experiment show that the fraction change set on the mechanical blender leads to a shorter delay than on the ventilator used in clinical practice, which uses an electronic blender.
Název v anglickém jazyce
Mechanical blender control for closed-loop oxygenation feedback control systems
Popis výsledku anglicky
Premature newborns often suffer from airway disease and require mechanical invasive or non-invasive ventilatory support. This article briefly discusses oxygen therapy options for neonates, including automated FiO2 closed-loop systems. The aim of this study is to construct a computer-controlled system to control a mechanical oxygen-air blender. Such a device will serve as a tool for designing and testing feedback control algorithms for oxygenation with short and clearly described delays of oxygen distribution in the ventilation circuit. The system was implemented using a stepper motor attached to the blender shaft with the design printed on a 3D printer. The motor was controlled through the Arduino platform and the whole system was controlled by software developed in the Matlab Simulink environment. The result of this work is a working system for controlling the oxygen fraction in the inspired mixture on a Sechrist Low Flow mechanical oxygen-air blender. The system was verified under laboratory conditions. The system delay was measured for two different fraction changes and four different flow rates. The results of the laboratory experiment show that the fraction change set on the mechanical blender leads to a shorter delay than on the ventilator used in clinical practice, which uses an electronic blender.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
20601 - Medical engineering
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2024
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
Advances in Digital Health and Medical Bioengineering, Proceedings of the 11th International Conference on E-Health and Bioengineering, EHB-2023, November 9–10, 2023, Bucharest, Romania – Volume 2: Health Technology Assessment, Biomedical Signal Processing, Medicine and Informatics
ISBN
978-3-031-62520-6
ISSN
1680-0737
e-ISSN
1433-9277
Počet stran výsledku
8
Strana od-do
373-380
Název nakladatele
Springer Nature Switzerland AG
Místo vydání
Basel
Místo konání akce
Bucuresti
Datum konání akce
9. 11. 2023
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
001326809000041