A High Input Impedance Low Noise Integrated Front-End Amplifier for Neural Monitoring

Zhijun Zhou, Paul A Warr

Research output: Contribution to journalArticle (Academic Journal)peer-review

12 Citations (Scopus)
625 Downloads (Pure)

Abstract

Within neural monitoring systems, the front-end amplifier forms the critical element for signal detection and preprocessing, which determines not only the fidelity of the biosignal, but also impacts power consumption and detector size. In this paper, a novel combined feedback loop-controlled approach is proposed to compensate for input leakage currents generated by low noise amplifiers when in integrated circuit form alongside signal leakage into the input bias network. This loop topology ensures the FEA maintains a high input impedance across all manufacturing and operational variations. Measured results from a prototype manufactured on the AMS 0.35μm CMOS technology is provided. This FEA consumes 3.1 μW in 0.042 mm2, achieves input impedance of 42 GΩ, and 18.2 nv/√Hz input-referred noise.
Original languageEnglish
Pages (from-to)1079-1086
Number of pages8
JournalIEEE Transactions on Biomedical Circuits and Systems
Volume10
Issue number6
Early online date23 May 2016
DOIs
Publication statusPublished - Dec 2016

Keywords

  • Neural recording
  • analogue integrated circuits
  • CMOS technology
  • biomedical signal processing
  • low-noise amplifiers

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