A Multi-Channel 1.52 μvrms Front End with Orthogonal Frequency Chopping for Neural Recording Applications

  • Li Dong
  • , Zhechong Lan
  • , Xiaoyan Gui
  • , Chengyang He
  • , Youze Xin
  • , Ken Li
  • , Li Geng

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

5 Scopus citations

Abstract

This paper presents a multi-channel neural recording front end (FE) with orthogonal frequency chopping for neural recording applications by using a standard 0.18 μm CMOS process. Considering the dc electrode offset (DEO) and the limited input impedance, dc-servo loop with duty cycle resistor and positive feedback loop with T-bridge capacitors are employed, which achieves high pass corner frequency of 0.1 Hz and input impedance of 850 MΩ, respectively. The proposed SAR-ADC with dynamic element matching (DEM) algorithm enhances the FE linearity. The total input referred noise (IRN) is 1.52 Vrms with 4 times oversampling, which is the lowest compared to prior-art of works, while exhibiting comparable power consumption.

Original languageEnglish
Title of host publicationProceedings - APCCAS 2019
Subtitle of host publication2019 IEEE Asia Pacific Conference on Circuits and Systems: Innovative CAS Towards Sustainable Energy and Technology Disruption
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages389-392
Number of pages4
ISBN (Electronic)9781728129402
DOIs
StatePublished - Nov 2019
Event15th Annual IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2019 - Bangkok, Thailand
Duration: 11 Nov 201914 Nov 2019

Publication series

NameProceedings - APCCAS 2019: 2019 IEEE Asia Pacific Conference on Circuits and Systems: Innovative CAS Towards Sustainable Energy and Technology Disruption

Conference

Conference15th Annual IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2019
Country/TerritoryThailand
CityBangkok
Period11/11/1914/11/19

Keywords

  • Orthogonal frequency chopping
  • SAR-ADC
  • capacitive-coupled instrumentation amplifier
  • dynamic element matching
  • neural recording
  • noise

Fingerprint

Dive into the research topics of 'A Multi-Channel 1.52 μvrms Front End with Orthogonal Frequency Chopping for Neural Recording Applications'. Together they form a unique fingerprint.

Cite this