Inductive Sensing of Lung Conductivity for Fluid Accumulation Detection

This study explores a non-invasive inductive sensing method for detecting lung conductivity variations due to the presence of water. Using CST Microwave Studio, the resonant frequency and the quality factor changes of a single resonant element are monitored as lung conductivity is varied to simulate fluid infiltration. The resolution of a standard Vector Network Analyzer (VNA) is compared to the range of changes detected. Noticeable changes are recorded, which support the inductive sensing technique for non-invasive lung fluid monitoring.