A low-parametric reconstruction method for human bladder volume estimation has been developed and compared to the conventional image-based global impedance method. Main advantages of the new method are conductivity invariant volume estimate and increased accuracy for medium to high bladder volumes.
EIT shows potential for monitoring fast changing conductivity profiles, such as heart and lung physiology and chemical processes. In such cases, the measurements which constitute an EIT frame are not taken simultaneously. Several approaches have been proposed to interpret such data, but have not been systematically compared. We formulate and compare temporal EIT solvers on simulation data.