Scientists 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.
For the full story, see the November 2021 edition of Smart Textiles & Wearables.
Photo: MIT