Objective: In this study, we examine the potential of using machine learning classification to
determine the bladder state ('not full','full') with electrical impedance tomography (EIT) …

Objective: To design and fabricate an anatomically and conductively accurate phantom for
electrical impedance studies of non-invasive bladder volume monitoring. Approach: A …