In this study are presented the results of our ongoing research on an original concept for visualizing and tracking the state of the urinary bladder. We have developed a measuring device based on electrical impedance tomography (EIT). Using electrical current stimulation and measuring the resulting voltages on a patient's body surface, we can visualize the bladder's position and shape, allowing us to analyze its filling level. The project also involves the development of diagnostic methods for functional disorders of the lower urinary tract. In addition, the device will measure muscle tension by electromyography, with the possibility of incorporating electrostimulation therapy. This approach can be used to monitor and support the treatment of patients with various health conditions related to the urinary bladder.

Minimal hardware requirements for electrical impedance tomography can enhance the method's applicability for medical tracking and diagnostic tasks in e-health. The principle of electrical tomography is that the response to electrical excitation of biological tissues provides information about the material structure. In order to reduce the required hardware, we study pseudo random binary sequence excitation patterns, instead of the standard sinusoidal excitation. We implement the measurement system in reconfigurable hardware with a mixed signal SoC. The measurements are validated using system identification in the resulting data to estimate the discrete transfer function of the system under measurement.