A Quantitative Evaluation of Drive Patterns in Electrical Impedance Tomography

Russo, Stefania, Carbonaro, Nicola, Tognetti, Alessandro and Nefti-Meziani, Samia A Quantitative Evaluation of Drive Patterns in Electrical Impedance Tomography , in: MOBIHEALTH 2016 - 6th EAI International Conference on Wireless Mobile Communication and Healthcare, November 14-16 2016, Milan.

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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.

Item Type: Conference or Workshop Item (Lecture)
Schools: Schools > School of Computing, Science and Engineering
Funders: European Union Seventh Framework Programme
Depositing User: S Russo
Date Deposited: 25 Aug 2017 08:35
Last Modified: 25 Aug 2017 08:35
URI: http://usir.salford.ac.uk/id/eprint/43611

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