Low-power low-noise pseudo-open-loop preamplifier for neural interfaces

Sun Il Chang, Sung Yun Park, Euisik Yoon

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

In this paper, we present a low-power, low-noise fully differential pseudo-open-loop preamplifier with programmable bandwidth for monitoring neural activities. The proposed pseudo-open-loop topology can achieve high-power-noise efficiency as well as high linearity and precise gain control over process. The proposed fully differential preamplifier can balance the common mode of the differential outputs without a common-mode feedback circuit, and bias the ac-coupled input transistors without an external reference. A current-ratio gain design can set a stable gain over process and bias current variations. A programmable embedded gm-C low-pass filter (LPF) can be tuned by adjusting bias current, so that the proposed preamplifier can be configured to be used in recording single neuron spikes or field potentials (EEG, ECoG). The proposed amplifier is configured to consume 400 nA at 2.5-V power supply; the total chip area is 0.189 mm2. The measured thermal noise floor is 85 nV/ √ Hz and input-referred noise is 1.69μ Vrms from 0.3 Hz to 1 kHz when using a chopper stabilization technique to suppress 1/f noise. The fabricated preamplifier shows a noise efficiency factor of 2.43 in the fully differential topology.

Original languageEnglish
Article number7953634
Pages (from-to)4843-4852
Number of pages10
JournalIEEE Sensors Journal
Volume17
Issue number15
DOIs
Publication statusPublished - 2017 Aug 1

All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Electrical and Electronic Engineering

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