@inproceedings{a315c308c8bb40dcbeaf24e56a0ada08,
title = "Artificial Skin Sensor Using 2D Electrical Impedance Tomography: The Sensitivity Volume Method",
abstract = "The sensitivity volume (SV) method for electrical impedance tomography allows for noninvasive, real-time electri-cal imaging using noise-robust resistance measurements. With the SV figure of merit, a set of highly sensitive measurements are optimized for the problem at hand. This method, applied to multi-walled carbon nanotube infused elastomers produces artificial skin sensors whose electrical readout is robust against wear and deformation. This work demonstrates an experimental implementation of the SV method for 2D tomography to demonstrate a 3 x 3 keypad sensor. The result exhibits high pattern fidelity, improved resolution, a minimal number of measurements, and high signal to noise.",
keywords = "artificial skin, electrical impedance tomography, inverse problem, sensitivity volume method, sensors",
author = "Onsager, {Claire C.} and Lev Rovinsky and Aygen, {Can C.} and Shira Cohen and Noa Lachman and Grayson, {Matthew A.}",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 20th IEEE International Conference on Body Sensor Networks, BSN 2024 ; Conference date: 15-10-2024 Through 17-10-2024",
year = "2024",
doi = "10.1109/BSN63547.2024.10780762",
language = "الإنجليزيّة",
series = "2024 IEEE 20th International Conference on Body Sensor Networks, BSN 2024 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2024 IEEE 20th International Conference on Body Sensor Networks, BSN 2024 - Proceedings",
address = "الولايات المتّحدة",
}