01880nas a2200193 4500008004100000245010200041210006900143490000700212520125600219653002201475653002001497653002701517653002301544100001401567700002201581700001801603700001701621856004801638 2017 eng d00aA Quantitative Evaluation of Drive Pattern Selection for Optimizing EIT-Based Stretchable Sensors0 aQuantitative Evaluation of Drive Pattern Selection for Optimizin0 v173 a
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 0.04. and 0.18, respectively.
10aconductive fabric10ainverse problem10aperformance parameters10astretchable sensor1 aRusso, S.1 aNefti-meziani, S.1 aCarbonaro, N.1 aTognetti, A. uhttp://www.mdpi.com/1424-8220/17/9/1999/htm