A New Model of Air-Oxygen Blender for Mechanical Ventilators Using Dynamic Pressure Sensors.

Publication date: Feb 24, 2024

Respiratory diseases are among the leading causes of death globally, with the COVID-19 pandemic serving as a prominent example. Issues such as infections affect a large population and, depending on the mode of transmission, can rapidly spread worldwide, impacting thousands of individuals. These diseases manifest in mild and severe forms, with severely affected patients requiring ventilatory support. The air-oxygen blender is a critical component of mechanical ventilators, responsible for mixing air and oxygen in precise proportions to ensure a constant supply. The most commonly used version of this equipment is the analog model, which faces several challenges. These include a lack of precision in adjustments and the inspiratory fraction of oxygen, as well as gas wastage from cylinders as pressure decreases. The research proposes a blender model utilizing only dynamic pressure sensors to calculate oxygen saturation, based on Bernoulli’s equation. The model underwent validation through simulation, revealing a linear relationship between pressures and oxygen saturation up to a mixture outlet pressure of 500 cmHO. Beyond this value, the relationship begins to exhibit non-linearities. However, these non-linearities can be mitigated through a calibration algorithm that adjusts the mathematical model. This research represents a relevant advancement in the field, addressing the scarcity of work focused on this essential equipment crucial for saving lives.

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Concepts Keywords
Basel blender
Mathematical Calibration
Pandemic FIO2
Thousands Humans
Ventilators mechanical ventilator
Ventilators, Mechanical


Type Source Name
drug DRUGBANK Medical air
drug DRUGBANK Oxygen
disease MESH Respiratory diseases
disease MESH causes of death
disease MESH COVID-19 pandemic
disease MESH infections
disease VO population
disease VO LACK
disease IDO algorithm
drug DRUGBANK Coenzyme M
disease MESH death
disease MESH critically ill
disease VO efficiency
disease VO volume
disease IDO process
disease VO organ
disease VO effectiveness
disease VO effective
disease VO time
drug DRUGBANK Phenindione
disease VO device
disease VO efficient
disease MESH asphyxia
disease VO USA
disease VO Canada
disease MESH premature labor

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