A delta-sigma modulator with frequency division multiplexing for multi-channel EEG acquisition front-end

Mikiyoshi Mikawa, Shouhei Kawazoe, Ryuto Fukuoka, Nobuhiko Nakano

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

Abstract

This paper presents a delta-sigma modulator with frequency division multiplexing (FDM), which employs analog-domain and digital-domain mixers. The proposed circuit includes chopper stabilization for eliminating flicker noise and is suitable for electroencephalogram (EEG) acquisition front-end. The proposed technique does not require extra digital signal processors for frequency-domain conversion and achieves high area efficiency. We optimize chopping frequencies to minimize crosstalk and analyze dynamic range. The performance is verified by MATLAB/Simulink simulation and measurement of the two-channel prototype fabricated in 0.18 μm CMOS technology.

Original languageEnglish
Title of host publication2019 26th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages97-100
Number of pages4
ISBN (Electronic)9781728109961
DOIs
Publication statusPublished - 2019 Nov
Event26th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2019 - Genoa, Italy
Duration: 2019 Nov 272019 Nov 29

Publication series

Name2019 26th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2019

Conference

Conference26th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2019
CountryItaly
CityGenoa
Period19/11/2719/11/29

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Keywords

  • Chopper stabilization
  • Delta-sigma ADC
  • Multi-frequency chopping
  • Neural recording

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Optimization
  • Computer Networks and Communications
  • Hardware and Architecture

Cite this

Mikawa, M., Kawazoe, S., Fukuoka, R., & Nakano, N. (2019). A delta-sigma modulator with frequency division multiplexing for multi-channel EEG acquisition front-end. In 2019 26th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2019 (pp. 97-100). [8965052] (2019 26th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICECS46596.2019.8965052