Research Article
A Quantitative Evaluation of Drive Patterns in Electrical Impedance Tomography
@INPROCEEDINGS{10.1007/978-3-319-58877-3_43, author={Stefania Russo and Nicola Carbonaro and Alessandro Tognetti and Samia Nefti-Meziani}, title={A Quantitative Evaluation of Drive Patterns in Electrical Impedance Tomography}, proceedings={Wireless Mobile Communication and Healthcare. 6th International Conference, MobiHealth 2016, Milan, Italy, November 14-16, 2016, Proceedings}, proceedings_a={MOBIHEALTH}, year={2017}, month={6}, keywords={Electrical Impedance Tomography EIT Drive patterns Stretchable sensors}, doi={10.1007/978-3-319-58877-3_43} }- Stefania Russo
Nicola Carbonaro
Alessandro Tognetti
Samia Nefti-Meziani
Year: 2017
A Quantitative Evaluation of Drive Patterns in Electrical Impedance Tomography
MOBIHEALTH
Springer
DOI: 10.1007/978-3-319-58877-3_43
Abstract
Electrical Impedance Tomography (EIT) is a method used to display, through an image, the conductivity distribution inside a domain by using measurements taken from electrodes placed at its periphery. This paper presents our prototype of a stretchable touch sensor, which is based on the EIT method. We then test its performance by comparing voltage data acquired from testing with two different materials, using the performance parameters Signal-to-Noise Ratio (SNR), Boundary Voltage Changes (BVC) and Singular Value Decomposition (SVD). The paper contributes to the literature by demonstrating that, depending on the present stimuli position over the conductive domain, the selection of electrodes on which current injection and voltage reading are performed, can be chosen dynamically resulting in an improved quality of the reconstructed image and system performance.
