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A soft stretchable sensor: Towards peripheral nerve signal sensing

  • Charles Hamilton
  • , Kevin Tian
  • , Jinhye Bae
  • , Canhui Yang
  • , Gursel Alici
  • , Geoffrey M. Spinks
  • , Zhigang Suo
  • , Joost J. Vlassak
  • , Marc In Het Panhuis
  • University of Wollongong
  • Robert Wood Johnson Medical School
  • Harvard University
  • Xi'an Jiaotong University

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

We propose a 3D-printable soft, stretchable, and transparent hydrogel-elastomer device that is able to detect simulated 'nerve' signals. The signal is passed to a conductive hydrogel electrode through a non-contact method of capacitive coupling through polydimethylsiloxane (PDMS). We demonstrate that the device is able to detect sinusoidal waveforms passed through a simulated 'nerve' made from conductive hydrogel over a range of frequencies (1 kHz-1 MHz). Analysis of signal detection showed a correlation to the electrode contact area and a Vin/Vout of larger than 10%. This provides the framework for the future development of a soft, 3D-printable, capacitive coupling device that can be used as a cuff electrode for detecting peripheral nerve signals.

Original languageEnglish
Pages (from-to)1597-1602
Number of pages6
JournalMRS Advances
Volume3
Issue number28
DOIs
StatePublished - 2018
Externally publishedYes

Keywords

  • extrusion
  • ionic conductor
  • sensor

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