MicroEIT Simulation images (Electric Sight)

This data provide here as supplementary information shows the image results of image reconstruction using traditional imaging methods (GN, TV) and our trained machine learning models during the development and testing of the 1D-CNN model for the microEIT system. Groundtruch, CNN images trained with different SNR datasets, CNN images trained with 33dB but load with different SNR dataset, GN images load with different SNR dataset and TV images load with different SNR dataset are also provided. Image reconstruction results obtained using our 1D-CNN show significant advantages over the two traditional methods. This was replicated for two common excitation/measurement modes and was extended to objects with different conductivity and of varying quantities.