Monitoring, Control System Development, and Experimental Validation for a Novel Extrapulmonary Respiratory Support Setup

This article presents a novel mechatronic setup intended for providing respiratory support to patients suffering from pulmonary failure. The setup relies upon the circulation of an oxygenated perfluorocarbon (PFC) through the abdominal cavity. Such circulation provides a potential pathway for the transport of oxygen to the bloodstream. However, the viability of this technology for CO2 clearance has not been established. Moreover, there is a lack of experimental data enabling the modeling and identification of the underlying dynamics of this technology. To address these gaps, we develop a flexible experimental perfusion setup capable of monitoring and controlling key variables, such as perfusate flowrate, temperature, pressure, and oxygenation. One important scientific objective of this setup is to enable the measurement of the impact of abdominal PFC perfusion on CO2 clearance. The article 1) summarizes the design of this setup; 2) highlights the degree to which its data acquisition system enables the collection and cross-correlation of both perfusionrelated and physiological variables; and 3) discusses the development of flow, pressure, and temperature control algorithms for the setup. Experiments with large animals (swine) show that perfusion can potentially affect both O2 and CO2 dynamics, and that the setup succeeds in recording key data needed for modeling these dynamics.

Automated summary

This article presents a novel mechatronic setup that provides respiratory support to patients with pulmonary failure. The setup circulates oxygenated perfluorocarbon through the abdominal cavity to provide a potential pathway for oxygen transport to the bloodstream. The article summarizes the design of the setup, discusses its data acquisition system, and highlights the development of control algorithms. Experiments show that the setup can potentially affect both oxygen and carbon dioxide dynamics and effectively records key data for modeling.