TY - JOUR
T1 - A simulation of a medical ventilator with a realistic lungs model [version 1; peer review
T2 - 1 not approved]
AU - Yeshurun, Tamir
AU - David, Yoav Bar
AU - Herman, Alon
AU - Bar-Sheshet, Stav
AU - Zilberman, Ronen
AU - Bachar, Gil
AU - Liberzon, Alexander
AU - Segev, Gideon
N1 - Publisher Copyright:
© 2020. Yeshurun T et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
PY - 2021
Y1 - 2021
N2 - Background: The outbreak of COVID-19 pandemic highlighted the necessity for accessible and affordable medical ventilators for healthcare providers. To meet this challenge, researchers and engineers world-wide have embarked on an effort to design simple medical ventilators that can be easily distributed. This study provides a simulation model of a simple one-sensor controlled, medical ventilator system including a realistic lungs model and the synchronization between a patient breathing and the ventilator. This model can assist in the design and optimization of these newly developed systems. Methods: The model simulates the ventilator system suggested and built by the “Manshema” team which employs a positive-pressure controlled system, with air and oxygen inputs from a hospital external gas supply. The model was constructed using Simscape™ (MathWorks®) and guidelines for building an equivalent model in OpenModelica software are suggested. The model implements an autonomously breathing, realistic lung model, and was calibrated against the ventilator prototype, accurately simulating the ventilator operation. Results: The model allows studying the expected gas flow and pressure in the patient’s lungs, testing various control schemes and their synchronization with the patient’s breathing. The model components, inputs, and outputs are described, an example for a simple, positive end expiratory pressure control mode is given, and the synchronization with healthy and ARDS patients is analyzed. Conclusions: We provide a simulator of a medical ventilation including realistic, autonomously breathing lungs model. The simulator allows testing different control schemes for the ventilatorand its synchronization with a breathing patient.
AB - Background: The outbreak of COVID-19 pandemic highlighted the necessity for accessible and affordable medical ventilators for healthcare providers. To meet this challenge, researchers and engineers world-wide have embarked on an effort to design simple medical ventilators that can be easily distributed. This study provides a simulation model of a simple one-sensor controlled, medical ventilator system including a realistic lungs model and the synchronization between a patient breathing and the ventilator. This model can assist in the design and optimization of these newly developed systems. Methods: The model simulates the ventilator system suggested and built by the “Manshema” team which employs a positive-pressure controlled system, with air and oxygen inputs from a hospital external gas supply. The model was constructed using Simscape™ (MathWorks®) and guidelines for building an equivalent model in OpenModelica software are suggested. The model implements an autonomously breathing, realistic lung model, and was calibrated against the ventilator prototype, accurately simulating the ventilator operation. Results: The model allows studying the expected gas flow and pressure in the patient’s lungs, testing various control schemes and their synchronization with the patient’s breathing. The model components, inputs, and outputs are described, an example for a simple, positive end expiratory pressure control mode is given, and the synchronization with healthy and ARDS patients is analyzed. Conclusions: We provide a simulator of a medical ventilation including realistic, autonomously breathing lungs model. The simulator allows testing different control schemes for the ventilatorand its synchronization with a breathing patient.
KW - COVID-19
KW - Mechanical Ventilator
KW - Simulation
UR - http://www.scopus.com/inward/record.url?scp=85117291782&partnerID=8YFLogxK
U2 - 10.12688/F1000RESEARCH.25873.1
DO - 10.12688/F1000RESEARCH.25873.1
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AN - SCOPUS:85117291782
SN - 2046-1402
VL - 9
SP - 1
EP - 16
JO - F1000Research
JF - F1000Research
ER -