Toward 1024-channel parallel neural recording: Modular Δ-ΔΣ Analog front-end architecture with 4.84fJ/C-s·mm2 energy-area product

Sung Yun Park, Jihyun Cho, Kyounghwan Na, Euisik Yoon

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

11 Citations (Scopus)

Abstract

We report an energy- and area-efficient modular analog front-end (AFE) architecture incorporating Δ-modulated ΔΣ (Δ-ΔΣ) signal acquisition for 1,024-channel brain activity monitoring platforms. The AFE employs spectrum-equalizing and continuous-time (CT)-ΔΣ quantization to make use of the inherent spectral characteristics of brain signals. The dynamic range (DR) of the neural signals has been compressed by 27dB (spectrum equalization). The energy-area product is the most critical figure of merit for massively-parallel recordings and the AFE achieves 4.84fJ/C-s·mm2, the smallest ever reported. The fabricated circuits consume 0.05mm2 and 3.05μW/channel, exhibiting 63.8dB SNDR, 3.02 NEF, and 4.56NEF2VDD.

Original languageEnglish
Title of host publication2015 Symposium on VLSI Circuits, VLSI Circuits 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
PagesC112-C113
ISBN (Electronic)9784863485020
DOIs
Publication statusPublished - 2015 Aug 31
Event29th Annual Symposium on VLSI Circuits, VLSI Circuits 2015 - Kyoto, Japan
Duration: 2015 Jun 172015 Jun 19

Publication series

NameIEEE Symposium on VLSI Circuits, Digest of Technical Papers
Volume2015-August

Conference

Conference29th Annual Symposium on VLSI Circuits, VLSI Circuits 2015
CountryJapan
CityKyoto
Period15/6/1715/6/19

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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