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Author:

Chen, Yi (Chen, Yi.) | Basu, Arindam (Basu, Arindam.) | Liu, Xu (Liu, Xu.) | Yao, Lei (Yao, Lei.) | Nag, Sudip (Nag, Sudip.) | Je, Minkyu (Je, Minkyu.) | Thakor, Nitish (Thakor, Nitish.)

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EI Scopus

Abstract:

A closed-loop brain-machine interface requires the integration of the neural stimulation and recording circuits with the microelectrode array. A challenge for simultaneous neural recording and stimulation is the large interference faced by the neural amplifier induced by stimulation artifacts. In this work, front-end circuit design technique and digital post-processing are combined to provide a solution for fast recovery of the neural amplifier from artifact, based on a signal folding scheme. A chip integrating the neural recording and stimulation circuits is implemented in GF-0.18μm CMOS process for proof of concept. In - vitro experiment is conducted using this chip, showing the viability of the proposed design. At stimulation current levels from 50 - 100 μA, which is sufficient for deep brain stimulation, a faster recovery time of around 1 ms is achieved with the proposed neural amplifier compared to 4 ms from conventional one. © 2017 IEEE.

Keyword:

Electrophysiology Surgery Brain computer interface Brain Microelectrodes Integrated circuit manufacture Timing circuits Neurophysiology

Author Community:

  • [ 1 ] [Chen, Yi]School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore; 639798, Singapore
  • [ 2 ] [Basu, Arindam]School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore; 639798, Singapore
  • [ 3 ] [Liu, Xu]School of Microelectronics, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Yao, Lei]Institute of Microelectronics, A STAR, Singapore; 117685, Singapore
  • [ 5 ] [Nag, Sudip]Singapore Institute for Neurotechnology, National University of Singapore, Singapore; 117456, Singapore
  • [ 6 ] [Je, Minkyu]School of Electrical Engineering, Korea Advanced Institute of Science and Technology, 34141, Korea, Republic of
  • [ 7 ] [Thakor, Nitish]Singapore Institute for Neurotechnology, National University of Singapore, Singapore; 117456, Singapore

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Year: 2017

Volume: 2018-January

Page: 1-4

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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