Hostname: page-component-76fb5796d-x4r87 Total loading time: 0 Render date: 2024-04-25T12:17:17.359Z Has data issue: false hasContentIssue false
  • English
  • Français

A Soft Stretchable Sensor: Towards Peripheral Nerve Signal Sensing

Published online by Cambridge University Press:  20 February 2018

Charles Hamilton ,
Kevin Tian ,
Jinhye Bae ,
Canhui Yang ,
Gursel Alici ,
Geoffrey M. Spinks ,
Zhigang Suo ,
Joost J. Vlassak  and
Marc in het Panhuis
Charles Hamilton*
Affiliation:
Soft Materials Group, School of Chemistry, University of Wollongong, Wollongong 2522 NSW, Australia ARC Centre of Excellence for Electromaterials Science, AIIM Facility, University of Wollongong, Wollongong2522, NSW, Australia Robert Wood Johnson Medical School, New Brunswick, New Jersey, 08854U.S.A.
Kevin Tian
Affiliation:
School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, 02138U.S.A
Jinhye Bae
Affiliation:
School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, 02138U.S.A
Canhui Yang
Affiliation:
School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, 02138U.S.A State Key Laboratory for Strength and Vibration of Mechanical Structures, International Center for Applied Mechanics, School of Aerospace, Xi’an Jiaotong University, Xi’an, 710049China
Gursel Alici
Affiliation:
ARC Centre of Excellence for Electromaterials Science, AIIM Facility, University of Wollongong, Wollongong2522, NSW, Australia School of Mechanical, Materials, Mechatronic, and Biomedical Engineering, University of Wollongong, Wollongong, NSW2522, Australia
Geoffrey M. Spinks
Affiliation:
ARC Centre of Excellence for Electromaterials Science, AIIM Facility, University of Wollongong, Wollongong2522, NSW, Australia School of Mechanical, Materials, Mechatronic, and Biomedical Engineering, University of Wollongong, Wollongong, NSW2522, Australia
Zhigang Suo
Affiliation:
School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, 02138U.S.A Kavli Institute for Bionano Science and Technology, Harvard University, Cambridge, Massachusetts, 02138U.S.A.
Joost J. Vlassak
Affiliation:
School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, 02138U.S.A
Marc in het Panhuis
Affiliation:
Soft Materials Group, School of Chemistry, University of Wollongong, Wollongong 2522 NSW, Australia ARC Centre of Excellence for Electromaterials Science, AIIM Facility, University of Wollongong, Wollongong2522, NSW, Australia
*
*(Email: cah170@uowmail.edu.au)

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

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.

Keywords

ionic conductorsensorextrusion
Type
Articles
Information
MRS Advances , Volume 3 , Issue 28: Biomaterials and Soft Materials , 2018 , pp. 1597 - 1602
Copyright
Copyright © Materials Research Society 2018 

References

REFERENCES

Biddiss, E., Beaton, D., and Chau, T., Arch Phys Med Rehab, 89, 422 (2008).Google Scholar
Lacour, S. P., Courtine, G., and Guck, J., Nat Rev Mats, 1, 1–14, (2016)Google Scholar
Xiang, Z., Yen, S., Sheshadri, S., Xue, N., Lee, S., Wang, J., Thakor, N., and Lee, C., IEEE Eng Med Biol (EMBC), 2015 37th Annual Int Conf of the IEEE, 15, 3157–3160, (2015)CrossRefGoogle Scholar
Yu, H., Xiong, W., Zhang, H., Wang, W., and Li, Z., J MicroElectroMech S, 23(5), 1025–1035 (2014)Google Scholar
Tian, K., Bae, J., Bakarich, S. E., Yang, C., Gately, D. R., Spinks, G. M., in het Panhuis, M., Suo, Z., and Vlassak, J. J., Adv Mater, 29, 1604827, (2017)Google Scholar
Yang, C.H., Chen, B., Lu, J.J., Yang, J.H., Zhou, J., Chen, Y.M., and Suo, Z., E Mech Lett, 3, 59–65, (2015)Google Scholar
Sun, J., Keplinger, C., Whitesides, G.M., and Suo, Z., Adv Mater, 26, 7608–7614, (2014).Google Scholar
Siegel, A. and Sapru, H., Essential Neuro 2nd edition (Wolters Kluwer, LWW, 2005), p10.Google Scholar
Nerve Conduction Study. Available at: http://www.hopkinsmedicine.org/healthlibrary/test_procedures/neurological/nerve_conduction_velocity_ncv_92,P07657/ (accessed 5 November 2017).Google Scholar
Andreasen, L.N.S. and Struijk, J.J., IEEE T Bio-Med Eng, 50(10), 1160–1166, (2003).CrossRefGoogle Scholar