An analog integrated front-end amplifier for neural applications

Zhijun Zhou, Paul Warr

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

1 Citation (Scopus)
324 Downloads (Pure)

Abstract

The front-end amplifier forms the critical element for signal detection and pre-processing within neural monitoring systems. It determines not only the fidelity of the biosignal, but also impacts power consumption and detector size. In this paper, a combined feedback loop-controlled approach is proposed to neutralize for the input leakage currents generated by low noise amplifiers when in integrated circuit form, alongside signal leakage into the input bias network. Significantly, this loop topology ensures the front-end amplifier maintains a high input impedance across all manufacturing and operational variations. Furthermore, this feedback loop provides the amplification for the low amplitude neural signals without significant increase in power consumption or input-referred noise.

Original languageEnglish
Title of host publicationProceedings of 2016 IEEE International Conference on Integrated Circuits and Microsystems, ICICM 2016
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages135-139
Number of pages5
ISBN (Electronic)9781509028146
ISBN (Print)9781509028139
DOIs
Publication statusPublished - 16 Jan 2017
Event2016 IEEE International Conference on Integrated Circuits and Microsystems, ICICM 2016 - Chengdu, China
Duration: 23 Nov 201625 Nov 2016

Conference

Conference2016 IEEE International Conference on Integrated Circuits and Microsystems, ICICM 2016
CountryChina
CityChengdu
Period23/11/1625/11/16

Keywords

  • analog integrated circuits
  • biomedical signal processing
  • CMOS technology
  • Low-noise amplifiers
  • neural recording

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