Abstract
Electrical Impedance Tomography (EIT) is a medical imaging technique that has been recently used to realize stretchable pressure sensors. In this method, voltage measurements are taken at electrodes placed at the boundary of the sensor and are used to reconstruct an image of the applied touch pressure points. The drawback with EIT-based sensors, however, is their low spatial resolution due to the ill-posed nature of the EIT reconstruction. In this paper, we show our performance evaluation of different EIT drive patterns, specifically strategies for electrode selection when performing current injection and voltage measurements. We compare voltage data with Signal-to-Noise Ratio (SNR) and Boundary Voltage Changes (BVC), and study image quality with Size Error (SE), Position Error (PE) and Ringing (RNG) parameters, in the case of one-point and two-point simultaneous contact locations. The study shows that, in order to improve the performance of EIT based sensors, the electrode selection strategies should dynamically change correspondingly to the location of the input stimuli. In fact, the selection of one drive pattern over another can improve the target size detection and position accuracy up to 4.7% and 18%, respectively.
Highlights
IntroductionElectrical Impedance Tomography (EIT) is mainly applied in clinical applications for patient monitoring [1] and pulmonary and cardiac functionality [2]
Electrical Impedance Tomography (EIT) is an imaging method in which electrodes placed at the periphery of a conductive body are used to both perform a small current injection and measure the resulting induced voltages; an inverse reconstruction algorithm is applied and an image of the internal conductivity distribution of the body is shown.EIT is mainly applied in clinical applications for patient monitoring [1] and pulmonary and cardiac functionality [2]
The PP-PP drive pattern produces the highest signal compared to noise since the current flowing crosswise the sensor is increased and the readings are taken over ample sections of the material
Summary
EIT is mainly applied in clinical applications for patient monitoring [1] and pulmonary and cardiac functionality [2]. This is because EIT is a non invasive and non-ionizing method, different from other medical imaging techniques. Recent studies [5] have focused on the application of EIT techniques on thin, stretchable and piezoresistive materials in order to create pressure sensitive sensors.The materials used for EIT-based sensors exhibit a change in their internal resistance when a mechanical solicitation is applied. An image of the pressure input can be reconstructed from the boundary voltages
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