Capabilities of Code Division Multiplexed Electrical Impedance Tomography

In this paper we present performance findings of a 16 electrode code division multiplexed tomography system, using simultaneous current pattern injection on 15 electrodes. We show that time difference and frequency difference imaging results obtained with this method are comparable to those of time division multiplexing and frequency division multiplexed systems commonly reported. These are the first experimental results of a fully functional broadband tomograph with concurrent current stimulations on all its injection electrodes. We further present a first application of the Extreme Learning Machine (ELM) to the reconstruction problem of impedance tomography. The results show that this method can be applied for the reconstruction task, inheriting its short training times and accuracy.