Separating Respiration and Perfusion in EIT: Harmonic Analysis on 2D-Thorax Simulation

Abstract Electrical impedance tomography (EIT) has the potential for monitoring perfusion in addition to respiration on bedside. Several separation methods were reported, e.g. Filtering, ECG-gating and PCA. However, is not trivial, which why harmonic analysis was introduced EIT data analysis. It based several assumptions therefore prove of plausibility necessary. In this contribution a two-dimensional thorax simulation introduced, includes simplified lungs heart with changing shapes conductivities due volume variations lung perfusion. Harmonic applied simulated data. The results are good agreement settings. Further investigations will be required limitations simulation. Nevertheless, delivered precise ideal strictly defined conditions.