Anna Sagui
Research Mentor(s): Joseph Potkay
Mentor Department: VA Medical Center & UM Surgery
Authors: Anna Sagui, Jingrui Liu, Joseph Potkay
Session: Session 3 (11:00am – 11:50am)
Presentation Type: Poster 92
Abstract
The study aims to develop and evaluate a compact CO2 unit for exhaust gas sampling, with applications in clinical and physiological monitoring, specifically towards the development of a wearable artificial lung. The research focuses on improving sensing accuracy under different conditions, by optimizing sensor placement, minimizing electronic interference, and integrating IoT capabilities for real-time monitoring. A functional CO2 sensing system was designed with an improved four-layer PCB layout incorporating a uniform ground plane to enhance signal integrity. The system was tested under various conditions, including different gas flow rates and concentrations. Exhaust gas samples were analyzed using a mountable chamber, and real-time data transmission was enabled through an IoT module. Calibration and accuracy testing were performed to assess the sensor’s response to variations in CO2 levels. The unit demonstrated improved accuracy and stability compared to previous designs. The integration of a cuttable and replaceable exhaust gas unit reduced mechanical complexity while maintaining precision. The system successfully captured real-time CO2 fluctuations, and data analysis revealed distinct patterns under different physiological conditions. The results also identified factors affecting sensing accuracy, guiding further refinements. This study presents a compact and efficient CO2 sensing system optimized for clinical applications. The device’s improved accuracy and IoT connectivity make it a promising tool for real-time gas monitoring for an artificial lung. Future work includes further testing with variable lung conditions, refining the IoT module, and optimizing sensing algorithms for broader applicability.
