Mechanical ventilation represents a fundamentalmode of therapy for severely ill patients who cannot breathe autonomously. At the same time, it has the potential of determining Ventilator-Induced Lung Injury (VILI) and further damaging the patient’s respiratory system. In thisworkwe present a model-based approach for pressure delivery optimization in the context of pressure-control mechanical ventilation, with the aim of maintaining oxygenation while minimizing barotrauma. A simple compartmental model of respiration describes both mechanical ventilation, alveolar oxygen exchange and blood oxygen transport. Model Predictive Control is used to optimize delivered air pressure at the mouth at each inspiration, optimizing a trade-off between oxygenation and barotrauma. Numerical simulations with different values of the trade-off parameter 𝛼 and in two emblematic pulmonary disease scenarios
Mathematical modeling of lung mechanics and pressure-controlled ventilation design for barotrauma minimization: A numerical simulation study
D'Orsi L.;Borri A.
;De Gaetano A.
2024
Abstract
Mechanical ventilation represents a fundamentalmode of therapy for severely ill patients who cannot breathe autonomously. At the same time, it has the potential of determining Ventilator-Induced Lung Injury (VILI) and further damaging the patient’s respiratory system. In thisworkwe present a model-based approach for pressure delivery optimization in the context of pressure-control mechanical ventilation, with the aim of maintaining oxygenation while minimizing barotrauma. A simple compartmental model of respiration describes both mechanical ventilation, alveolar oxygen exchange and blood oxygen transport. Model Predictive Control is used to optimize delivered air pressure at the mouth at each inspiration, optimizing a trade-off between oxygenation and barotrauma. Numerical simulations with different values of the trade-off parameter 𝛼 and in two emblematic pulmonary disease scenariosFile | Dimensione | Formato | |
---|---|---|---|
Aspidistra_for_Biomedical_Signal_Processing_and_Control.pdf
solo utenti autorizzati
Tipologia:
Documento in Post-print
Licenza:
NON PUBBLICO - Accesso privato/ristretto
Dimensione
1.09 MB
Formato
Adobe PDF
|
1.09 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.