A Low-Power Low-Noise Neural Signal Acquisition Amplifier with Tolerance to Large Stimulation Artifacts

Donghoon Choi, Hyouk Kyu Cha

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

One of the critical issues in bidirectional neural interface systems is that both differential and common-mode interference generated by the stimulator may saturate the neural recording circuit. This paper presents a low-noise neural signal acquisition amplifier that is tolerant to 60 mVpp and 300 mVpp differential and common-mode interference, respectively, while preserving the desired neural signals. The proposed amplifier achieves a closed-loop gain of 20 dB, integrated input referred noise of 2.58 μVrms, and noise efficiency factor of 1.38 while consuming 1.16 μA of current from a 1-V supply. The circuit is designed in 0.18-μm CMOS process and occupies 0.12 mm2 of die area.

Original languageEnglish
Title of host publicationProceedings - International SoC Design Conference 2021, ISOCC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages325-326
Number of pages2
ISBN (Electronic)9781665401746
DOIs
StatePublished - 2021
Event18th International System-on-Chip Design Conference, ISOCC 2021 - Jeju Island, Korea, Republic of
Duration: 6 Oct 20219 Oct 2021

Publication series

NameProceedings - International SoC Design Conference 2021, ISOCC 2021

Conference

Conference18th International System-on-Chip Design Conference, ISOCC 2021
Country/TerritoryKorea, Republic of
CityJeju Island
Period6/10/219/10/21

Keywords

  • common-mode interference
  • neural amplifier

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