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Design and Implementation of Low Noise Amplifier in Neural Signal Analysis

  • Malti BansalEmail author
  • Diksha Singh
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1025)

Abstract

LNA is an important component of transceivers and is widely used in neural signal analysis. In this paper, we review the different topologies and configurations used for LNA in neural applications. We compare the different topologies and conclude which one is the best topology among the ones studied on basis of certain parameters that govern the performance of a LNA for neural applications. According to our analysis, CMOS bipotential amplifier is the most appropriate neural amplifier in terms of all design parameters taken into consideration for use of LNA in neural applications.

Keywords

LNA SNR Neural Feedback amplifier Differential Impedance 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Electronics and Communication EngineeringDelhi Technological University (DTU)DelhiIndia

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