EIT-kit: An Electrical Impedance Tomography Toolkit for Health and Motion Sensing
Junyi Zhu, Jackson C Snowden, Joshua Verdejo, Emily Chen, Paul J. Zhang, Hamid Ghaednia, Joseph H. Schwab, Stefanie Mueller
Abstract
In this paper, we propose EIT-kit, an electrical impedance tomography toolkit for designing and fabricating health and motion sensing devices. EIT-kit contains (1) an extension to a 3D editor for personalizing the form factor of electrode arrays and electrode distribution, (2) a customized EIT sensing motherboard for performing the measurements, (3) a microcontroller library that automates signal calibration and facilitates data collection, and (4) an image reconstruction library for mobile devices for interpolating and visualizing the measured data. Together, these EIT-kit components allow for applications that require 2- or 4-terminal setups, up to 64 electrodes, and single or multiple (up to four) electrode arrays simultaneously.