A Quantitative Evaluation of Drive Pattern Selection for Optimizing EIT-Based Stretchable Sensors

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 pressu...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2017-08, Vol.17 (9), p.1999
Main Authors: Russo, Stefania, Nefti-Meziani, Samia, Carbonaro, Nicola, Tognetti, Alessandro
Format: Article
Language:English
Subjects:
conductive fabric
Current injection
Electric contacts
Electric potential
Electrical impedance
Electrical measurement
Electrodes
Error analysis
Ill posed problems
Image quality
inverse problem
Medical imaging
performance parameters
Pressure sensors
Quantitative analysis
Sensors
Spatial resolution
stretchable sensor
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Summary: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.
ISSN:1424-8220
1424-8220
DOI:10.3390/s17091999