TY - JOUR
T1 - Batteryless neural interface using triboelectric nanogenerators (TENGs) to enable a self-sustainable platform for neuromodulation
AU - Lee, Sanghoon
AU - Wang, Hao
AU - Thakor, Nitish V.
AU - Yen, Shih Cheng
AU - Lee, Chengkuo
N1 - Funding Information:
This work is supported by the NRF2011NRF-CRP001-057 Program ‘Self-powered body sensor for disease management and prevention-orientated healthcare’ (R-263-000-A27-281) from the National Research Foundation (NRF), at the National University of Singapore, Singapore.
Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2018/7/26
Y1 - 2018/7/26
N2 - The concept of converting human energy into useful power by various mechanisms has been explored as an alternative way to support the operation of implantable bioelectronics. Triboelectric nanogenerators (TENGs) have recently been proposed as a promising technology to harvest energy as an alternative power source for these implantable devices. In this paper, we investigate stacked TENGs as a potential power source for peripheral nerve stimulation. To achieve sufficient electrical energy for the stimulation, we optimize various parameters of the stacked TENGs. We combine the optimized TENGs and neural electrodes to demonstrate batteryless neural interfaces. We conduct direct and selective stimulation of sciatic nerves in rats using this batteryless neural interface to modulate different muscle activation. This prove-concept result indicates that this technology could enable a self-sustainable platform for neuromodulation in the future.
AB - The concept of converting human energy into useful power by various mechanisms has been explored as an alternative way to support the operation of implantable bioelectronics. Triboelectric nanogenerators (TENGs) have recently been proposed as a promising technology to harvest energy as an alternative power source for these implantable devices. In this paper, we investigate stacked TENGs as a potential power source for peripheral nerve stimulation. To achieve sufficient electrical energy for the stimulation, we optimize various parameters of the stacked TENGs. We combine the optimized TENGs and neural electrodes to demonstrate batteryless neural interfaces. We conduct direct and selective stimulation of sciatic nerves in rats using this batteryless neural interface to modulate different muscle activation. This prove-concept result indicates that this technology could enable a self-sustainable platform for neuromodulation in the future.
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U2 - 10.1088/1742-6596/1052/1/012007
DO - 10.1088/1742-6596/1052/1/012007
M3 - Conference article
AN - SCOPUS:85051320613
SN - 1742-6588
VL - 1052
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012007
T2 - 17th International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications, PowerMEMS 2017
Y2 - 14 November 2017 through 17 November 2017
ER -