16-Channel High-CMRR Neural-Recording Amplifiers Using Common-Made-Tracking Power Supply Rails

Doojin Jang, Taeju Lee, Hyuntak Jeon, Seoktae Koh, Jaesuk Choi, Junghyup Lee, Minkyu Je

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

Abstract

This paper presents a neural recording amplifier that operates in environments where large common-mode signals interfere. The proposed scheme employs two types of LDOs that generate isolated supply voltages and a buffer to sense a common-mode signal. Thanks to the isolated supply rails, both the intrinsic common-mode rejection ratio (ICMRR) and common-mode input impedance of the low-noise amplifier (LNA) are increased, which leads to the total common-mode rejection ratio (TCMRR) above 89.2 dB up to 1 kHz even in 16-channel recording with a shared reference electrode. Compared to the conventional method, the TCMRR is improved by 48.7 dB even for 28% mismatch of the electrode-tissue impedance (ETI) and 1% mismatch of the LNA input capacitances.

Original languageEnglish
Title of host publication2018 IEEE International Symposium on Radio-Frequency Integration Technology, RFIT 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538659717
DOIs
StatePublished - 5 Nov 2018
Event2018 IEEE International Symposium on Radio-Frequency Integration Technology, RFIT 2018 - Melbourne, Australia
Duration: 15 Aug 201817 Aug 2018

Publication series

Name2018 IEEE International Symposium on Radio-Frequency Integration Technology, RFIT 2018

Conference

Conference2018 IEEE International Symposium on Radio-Frequency Integration Technology, RFIT 2018
Country/TerritoryAustralia
CityMelbourne
Period15/08/1817/08/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

  • Neural recording amplifier
  • common-mode rejection ratio (CMRR)
  • common-mode sensing
  • isolated supply rails
  • low-noise amplifier (LNA)

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