A Soft Stretchable Sensor: Towards Peripheral Nerve Signal Sensing

Authors

Charles Hamilton, University of Wollongong, Robert Wood Johnson Medical SchoolFollow
Kevin Tian, Harvard University
Jinhye Bae, Harvard University
Canhui Yang, Harvard University, Xi'an Jiaotong Universty
Gursel Alici, University of WollongongFollow
Geoffrey M. Spinks, University of WollongongFollow
Zhigang Suo, Harvard University
Joost Vlassak, Harvard University
Marc in het Panhuis, University of WollongongFollow

RIS ID

127663

Publication Details

Hamilton, C., Tian, K., Bae, J., Yang, C., Alici, G., Spinks, G. M., Suo, Z., Vlassak, J. J. & in het Panhuis, M. (2018). A Soft Stretchable Sensor: Towards Peripheral Nerve Signal Sensing. MRS Advances, 3 (28), 1597-1602.

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 V in /V out 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.

Grant Number

ARC/CE140100012