A 64-channel neuron recording system

Yi Kai Lo, Wentai Liu, Kuanfu Chen, Ming Hsien Tsai, Fu Lung Hsueh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

This paper presents a fully integrated low-power neuron recording front-end system in TSMC 65nm 1p6m CMOS technology. The proposed system is comprised of two recording modules, each containing 32 recording channels with tunable bandwidth and gain, a 32-to-1 multiplexer, one differential successive approximation register (SAR) analog-to-digital converter (ADC) with programmable sampling rate on each channel, and a digital control module to govern the signal digitization as well as to encode and serialize the digitized neuron signal from two ADCs. The recording amplifier presents a low power and low noise merits of 6 W and input-referred noise of 3.8 μV rms. The ADC digitizes the neural signal at a sampling rate of 40kS/s with 9-bit resolution. The overall power consumption of the entire system is 2.56mW and occupies an area of 34mm 2.

Original languageEnglish
Title of host publication33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Pages2862-2865
Number of pages4
DOIs
Publication statusPublished - 2011
Event33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, United States
Duration: 2011 Aug 302011 Sept 3

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)1557-170X

Other

Other33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Country/TerritoryUnited States
CityBoston, MA
Period11-08-3011-09-03

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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