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Xiaoran Li, Shun'an Zhong, Haidong Yang, Libin Yao. Fully-Differential Multichannel Integrated Neural Signal Recording Front-EndJ. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2017, 26(2): 228-234. DOI: 10.15918/j.jbit1004-0579.201726.0212
Citation: Xiaoran Li, Shun'an Zhong, Haidong Yang, Libin Yao. Fully-Differential Multichannel Integrated Neural Signal Recording Front-EndJ. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2017, 26(2): 228-234. DOI: 10.15918/j.jbit1004-0579.201726.0212

Fully-Differential Multichannel Integrated Neural Signal Recording Front-End

  • 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 180nm 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 52.6dB. The core area of the proposed neural recording front-end is about 2.46mm2.
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