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Related Concept Videos

Design Example: Vintage Mixing Console01:17

Design Example: Vintage Mixing Console

307
A sound engineer at a music company recently encountered a problem. The output from their newly acquired studio's vintage mixing console was too low for the requirements of modern recording equipment. To rectify this situation, the engineer decided to design an audio pre-amplifier using an operational amplifier (op-amp) to boost the signal level.
The specifications for the pre-amplifier were clear. It needed to amplify the audio signal by a factor of 10, have an input impedance above 10...
307

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A Wireless, Bidirectional Interface for In Vivo Recording and Stimulation of Neural Activity in Freely Behaving Rats
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A 2.2 NEF Neural-Recording Amplifier Using Discrete-Time Parametric Amplification.

T Jang1, J Lim1, K Choo1

  • 1University of Michigan, Ann Arbor, MI, USA.

Symposium on VLSI Circuits : [Proceedings]. Symposium on VLSI Circuits
|March 14, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a novel instrumentation amplifier with a 2.2 noise efficiency factor (NEF) for neural recordings. It significantly reduces noise and power consumption, enhancing signal quality for brain-computer interfaces.

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Area of Science:

  • Electronics
  • Biomedical Engineering
  • Signal Processing

Background:

  • Neural recording requires low-noise, power-efficient instrumentation amplifiers.
  • Existing amplifiers often struggle to balance noise performance with power consumption.

Purpose of the Study:

  • To develop an instrumentation amplifier with a low noise efficiency factor (NEF) for neural recording.
  • To improve input-referred noise and reduce power consumption in neural recording systems.

Main Methods:

  • Designed a parametric amplifier utilizing MOS C-V characteristics as a pre-amplifier stage.
  • Implemented oversampling techniques to minimize sampling noise.
  • Adopted an 8-phase soft-charging method to reduce switching power.

Main Results:

  • Achieved a noise efficiency factor (NEF) of 2.2.
  • Reduced the input-referred noise of subsequent stages by 3.4×.
  • Demonstrated minimized sampling noise and reduced power consumption.

Conclusions:

  • The proposed instrumentation amplifier is highly suitable for neural recording applications.
  • The design effectively lowers noise and power, crucial for implantable or wearable devices.
  • The parametric pre-amplifier stage significantly enhances overall system performance.