Abstract
A time-dependent, flexible, 2-dimensional fine thoracic Finite-Element model for continuous lung Electrical Impedance Tomography (EIT) imaging is presented. It can be used as a tool to identify lung EIT hardware specifications, such as minimum frame rate, number of electrodes and noise requirements, as well as for prior evaluation of EIT reconstruction algorithms, before applying in-vivo data. The model is parameterized with respect to electrodes’ characteristics, the measuring protocol, structural and temporal properties of the thoracic tissues. It is implemented in FEMM using a script generated by MATLAB code, while the measurements are acquired also by MATLAB. The electrodes’ contact impedances, as well as the changes in electrical and geometric properties of the thoracic tissues due to breathing and perfusion, during each particular measuring frame, are taken into account.
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