Fully-Differential Multichannel Integrated Neural Signal Recording Front-End

Xiaoran Li, Shun'an Zhong*, Haidong Yang, Libin Yao

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Neural signal can be used for clinical disease diagnosis, data analysis and real-time life signal monitoring. Its analysis requires high-performance signal processors. Based on the 180 nm standard CMOS technology, a 16-channel fully-differential neural recording chip is designed. The chip consists of 16-channel low-noise pre-amplifiers, a multiplexer and a successive approximation register (SAR) ADC. The result shows that the equivalent input-referred noise of recording amplifier is 3.63 μV, bringing down noise efficiency factor to 4.24. At 8.5 bits effective number of bit (ENOB), the analog-to-digital converter (ADC) has an SNR of 52.6 dB. The core area of the proposed neural recording front-end is about 2.46 mm2.

Original languageEnglish
Pages (from-to)228-234
Number of pages7
JournalJournal of Beijing Institute of Technology (English Edition)
Volume26
Issue number2
DOIs
Publication statusPublished - 1 Jun 2017

Keywords

  • Analog-to-digital converter (ADC)
  • Low noise operational amplifier
  • Multiplexer
  • Neuralrecording
  • Successive approximation register (SAR)

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Li, X., Zhong, S., Yang, H., & Yao, L. (2017). Fully-Differential Multichannel Integrated Neural Signal Recording Front-End. Journal of Beijing Institute of Technology (English Edition), 26(2), 228-234. https://doi.org/10.15918/j.jbit1004-0579.201726.0212