Toolkit for health and motion-sensing devices

MITScientists from Massachusetts Institute of Technology’s Computer Science & Artificial Intelligence Laboratory and Massachusetts General Hospital’s Center for Artificial Intelligence have created a toolkit for designing health and motion-sensing devices using electrical impedance tomography – an imaging technique that measures and visualises a person’s internal conductivity and is typically used for applications such as observing lung function or detecting cancer.

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Photo: MIT