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A 100-Channel 1-mW implantable neural recording IC

  • Xiaodan Zou
  • , Lei Liu
  • , Jia Hao Cheong
  • , Lei Yao
  • , Peng Li
  • , Ming Yuan Cheng
  • , Wang Ling Goh
  • , Ramamoorthy Rajkumar
  • , Gavin Stewart Dawe
  • , Kuang Wei Cheng
  • , Minkyu Je

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents a fully implantable 100-channel neural interface IC for neural activity monitoring. It contains 100-channel analog recording front-ends, 10 multiplexing successive approximation register ADCs, digital control modules and power management circuits. A dual sample-and-hold architecture is proposed, which extends the sampling time of the ADC and reduces the average power per channel by more than 50% compared to the conventional multiplexing neural recording system. A neural amplifier (NA) with current-reuse technique and weak inversion operation is demonstrated, consuming 800 nA under 1-V supply while achieving an input-referred noise of 4.0 μV \rm rms in a 8-kHz bandwidth and a NEF of 1.9 for the whole analog recording chain. The measured frequency response of the analog front-end has a high-pass cutoff frequency from sub-1 Hz to 248 Hz and a low-pass cutoff frequency from 432 Hz to 5.1 kHz, which can be configured to record neural spikes and local field potentials simultaneously or separately. The whole system was fabricated in a 0.18-μhbox m standard CMOS process and operates under 1 V for analog blocks and ADC, and 1.8 V for digital modules. The number of active recording channels is programmable and the digital output data rate changes accordingly, leading to high system power efficiency. The overall 100-channel interface IC consumes 1.16-mW total power, making it the optimum solution for multi-channel neural recording systems.

Original languageEnglish
Article number6479332
Pages (from-to)2584-2596
Number of pages13
JournalIEEE Transactions on Circuits and Systems I: Regular Papers
Volume60
Issue number10
DOIs
Publication statusPublished - 2013

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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