A 4×32-channel neural recording system for deep brain stimulation systems

Susie Kim, Seung In Na, Youngtae Yang, Hyunjong Kim, Taehoon Kim, Jun Soo Cho, Jinhyung Kim, Jin Woo Chang, Suhwan Kim

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

In this paper, a 4×32-channel neural recording system capable of acquiring neural signals is introduced. Four 32-channel neural recording ICs, complex programmable logic devices (CPLDs), a micro controller unit (MCU) with USB interface, and a PC are used. Each neural recording IC, implemented in 0.18 mm CMOS technology, includes 32 channels of analog front-ends (AFEs), a 32-to-1 analog multiplexer, and an analog-to-digital converter (ADC). The mid-band gain of the AFE is adjustable in four steps, and have a tunable bandwidth. The AFE has a mid-band gain of 54.5 dB to 65.7 dB and a bandwidth of 35.3 Hz to 5.8 kHz. The high-pass cutoff frequency of the AFE varies from 18.6 Hz to 154.7 Hz. The input-referred noise (IRN) of the AFE is 10.2 μVrms. A high-resolution, low-power ADC with a high conversion speed achieves a signal-to-noise and distortion ratio (SNDR) of 50.63 dB and a spurious-free dynamic range (SFDR) of 63.88 dB, at a sampling-rate of 2.5 MS/s. The effectiveness of our neural recording system is validated in in-vivo recording of the primary somatosensory cortex of a rat.

Original languageEnglish
Pages (from-to)129-140
Number of pages12
JournalJournal of Semiconductor Technology and Science
Volume17
Issue number1
DOIs
Publication statusPublished - 2017 Feb

Bibliographical note

Funding Information:
This work was supported in part by Inter-university Semiconductor Research Center (ISRC) of Seoul National University.

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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