Artificial Skin Sensor Using 2D Electrical Impedance Tomography: The Sensitivity Volume Method

Claire C. Onsager, Lev Rovinsky, Can C. Aygen, Shira Cohen, Noa Lachman, Matthew A. Grayson

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2024 IEEE 20th International Conference on Body Sensor Networks, BSN 2024 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331530143
DOIs
StatePublished - 2024
Event20th IEEE International Conference on Body Sensor Networks, BSN 2024 - Chicago, United States
Duration: 15 Oct 202417 Oct 2024

Publication series

Name2024 IEEE 20th International Conference on Body Sensor Networks, BSN 2024 - Proceedings

Conference

Conference20th IEEE International Conference on Body Sensor Networks, BSN 2024
Country/TerritoryUnited States
CityChicago
Period15/10/2417/10/24

Keywords

  • artificial skin
  • electrical impedance tomography
  • inverse problem
  • sensitivity volume method
  • sensors

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Biomedical Engineering
  • Health Informatics
  • Instrumentation

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