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

Cited 6 time in Web of Science Cited 6 time in Scopus
Authors

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

Issue Date
2017-02
Publisher
대한전자공학회
Citation
Journal of Semiconductor Technology and Science, Vol.17 No.1, pp.129-140
Abstract
In this paper, a 4x32-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 mu m CMOS technology, includes 32 channels of analog front-ends (AFEs), a 32-to-1 analog multiplexer, and an analog-to-digital converter (ADC). The midband 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 mVrms. 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.
ISSN
1598-1657
Language
English
URI
https://hdl.handle.net/10371/139108
DOI
https://doi.org/10.5573/JSTS.2017.17.1.129
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