Researchers develop a novel respiratory system simulator
Scientists reveal their reliable and tuneable simulator created using swine lungs, synthetic actuators and artificial muscles.
Researchers have developed a novel respiratory system simulator for the study of respiration and complex pulmonary conditions.
According to the scientists, benchtop tools for studying the respiratory system misrepresent the interdependence between the diaphragm, abdomen and lungs. Meanwhile, computational models hide the mechanisms in a black box computation, so do not provide a clear representation of the process.
To enable students and researchers to better understand respiratory mechanisms and develop embeddable medical devices, researchers created a high-fidelity respiratory simulator that accurately represents the interplay between the abdomen, diaphragm, lungs and pleural space.
Study author, Ellen Roche, explained that the model they created uses swine lungs, soft synthetic actuators and artificial muscles. The result is a reliable, tuneable system with a deterministic motion. Precise tuning of pressure in each part of the system allows researchers to explore specific disease conditions and show how even minor changes affect overall respiratory function.
For example, the model was successfully used to test three types of pneumothorax, when air enters the pleural space, and obstructive lung disease by increasing flow resistance in the airway. The authors also tested a patch for repairing lung punctures and showed the system of sensors measuring flow, volume and pressure in the model is able to precisely measure airway pressure and pleural pressure.
The model, which is completely modular with parts that can be removed or replaced, also proved extremely useful for testing ventilator-only respiration by removing the elastomeric diaphragm.
“We are currently using it as a realistic testbed to test different ventilator options that have been developed for the COVID-19 pandemic,” Roche said.
The authors plan to add cardiovascular components to their model to further increase its usability to study complex problems involving respiratory and cardiovascular systems.
The paper was published in APL Bioengineering.