@article {3225,
	title = {Development of a High-Speed Current Injection and Voltage Measurement System for Electrical Impedance Tomography-Based Stretchable Sensors},
	journal = {TECHNOLOGIES},
	volume = {5},
	year = {2017},
	keywords = {conductive fabric, EIT, pressure sensor, stretchable, wearable},
	doi = {10.3390/technologies5030048},
	url = {http://www.mdpi.com/2227-7080/5/3/48},
	author = {S. Russo and S. Nefti-meziani and N. Carbonaro and A. Tognetti}
}
@article {3224,
	title = {A Quantitative Evaluation of Drive Pattern Selection for Optimizing EIT-Based Stretchable Sensors},
	journal = {SENSORS},
	volume = {17},
	year = {2017},
	abstract = {<p>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.</p>
},
	keywords = {conductive fabric, inverse problem, performance parameters, stretchable sensor},
	doi = {10.3390/s17091999},
	url = {http://www.mdpi.com/1424-8220/17/9/1999/htm},
	author = {S. Russo and S. Nefti-meziani and N. Carbonaro and A. Tognetti}
}
@conference {3228,
	title = {A highly stretchable artificial sensitive skin using EIT},
	booktitle = {Book of abstracts: 16th International Conference on Electrical Bio-Impedance, 17th International Conference on Electrical Impedance Tomography. ICEBI and EIT Stockholm 19{\quotesinglbase}{\"A}{\`\i}23 June 2016},
	year = {2016},
	pages = {132{\textendash}132},
	publisher = {Karolinska Institutet},
	organization = {Karolinska Institutet},
	address = {Stoccolma},
	url = {http://www.icebi2016.org/images/ICEBI_2016_web.pdf},
	author = {S. Russo and A. Tognetti and N. Carbonaro and S. Nefti-meziani}
}
@conference {3230,
	title = {A Quantitative Evaluation of Drive Patterns in Electrical Impedance Tomography},
	booktitle = {Proceedings of the 6th EAI International Conference on Wireless Mobile Communication and Healthcare},
	year = {2016},
	pages = {337{\textendash}344},
	keywords = {drive patterns, EIT, Electrical impedance tomography, stretchable sensors},
	doi = {10.1007/978-3-319-58877-3},
	author = {S. Russo and N. Carbonaro and A. Tognetti and S. Nefti-meziani}
}
@conference {3234,
	title = {Towards the development of an EIT-based stretchable sensor for multi-touch industrial human-computer interaction systems},
	booktitle = {Cross-Cultural Design 8th International Conference, CCD 2016, Held as Part of HCI International 2016, Toronto, ON, Canada, July 17-22, 2016, Proceedings},
	volume = {9741},
	year = {2016},
	pages = {563{\textendash}573},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	address = {Dordrecht},
	keywords = {Computer Science (all), Theoretical Computer Science},
	doi = {10.1007/978-3-319-40093-855},
	url = {http://springerlink.com/content/0302-9743/copyright/2005/},
	author = {S. Russo and S. Nefti-meziani and Gulrez, T and N. Carbonaro and A. Tognetti}
}
