A Soft Stretchable Sensor: Towards Peripheral Nerve Signal Sensing
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MRS Advances © 2018 Materials Research Society DOI: 10.1557/adv.2018.220
A Soft Stretchable Sensor: Towards Peripheral Nerve Signal Sensing Charles Hamilton1,2,3, Kevin Tian4, Jinhye Bae4, Canhui Yang4,5, Gursel Alici2,6, Geoffrey M. Spinks2,6, Zhigang Suo4,7, Joost J. Vlassak4 and Marc in het Panhuis1,2 1
Soft Materials Group, School of Chemistry, University of Wollongong, Wollongong 2522 NSW, Australia
2
ARC Centre of Excellence for Electromaterials Science, AIIM Facility, University of Wollongong, Wollongong 2522, NSW, Australia
3
Robert Wood Johnson Medical School, New Brunswick, New Jersey, 08854 U.S.A.
4 School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, 02138 U.S.A
5 State Key Laboratory for Strength and Vibration of Mechanical Structures, International Center for Applied Mechanics, School of Aerospace, Xi’an Jiaotong University, Xi’an, 710049 China
6
School of Mechanical, Materials, Mechatronic, and Biomedical Engineering, University of Wollongong, Wollongong, NSW 2522, Australia
7 Kavli Institute for Bionano Science and Technology, Harvard University, Cambridge, Massachusetts, 02138 U.S.A.
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.
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INTRODUCTION Amputees rely on prosthetic devices to serve as extensions of their body to perform tasks on a day-to-day basis. The ideal prosthetic for completing many activities would be lightweight, lifelike, affordable, and -- above all -- fully functional [1]. A sophisticated method of accurately controlling a prosthetic device would involve the use of neuronal signals to convey the user’s intentions. The detection of neuronal signals from biological organisms has remained an area of importance for decades, and numerous methods for detecting neuronal signals from the central nervous system (CNS) and peripheral nervous system (PNS) have been reported in the past [2]. Many of these previously reported devices rely on the use of expensive materials such as gold or platinum. Additionally, they often result in devices that are not mechanically compatible with biological tissu
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