A simultaneous neural recording and stimulation system using signal folding in recording circuits

Yi Chen, Arindam Basu, Xu Liu, Lei Yao, Sudip Nag, Minkyu Je, Nitish Thakor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publication2017 IEEE Biomedical Circuits and Systems Conference, BioCAS 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-4
Number of pages4
ISBN (Electronic)9781509058037
DOIs
StatePublished - Jul 2 2017
Externally publishedYes
Event2017 IEEE Biomedical Circuits and Systems Conference, BioCAS 2017 - Torino, Italy
Duration: Oct 19 2017Oct 21 2017

Publication series

Name2017 IEEE Biomedical Circuits and Systems Conference, BioCAS 2017 - Proceedings
Volume2018-January

Other

Other2017 IEEE Biomedical Circuits and Systems Conference, BioCAS 2017
Country/TerritoryItaly
CityTorino
Period10/19/1710/21/17

ASJC Scopus subject areas

  • Biomedical Engineering
  • Electrical and Electronic Engineering
  • Instrumentation

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