Fully-Differential Multichannel Integrated Neural Signal Recording Front-End

被引：1

作者：

Xiaoran Li ^{[1
]}

Shun'an Zhong ^{[1
]}

Haidong Yang ^{[1
]}

Libin Yao ^{[2
]}

机构：

[1] School of Information and Electronics,Beijing Institute of Technology

[2] Kunming Institute of Physics

来源：

Journal of Beijing Institute of Technology | 2017年 / 26卷 / 02期

基金：

中国国家自然科学基金;

关键词：

neuralrecording; low noise operational amplifier; multiplexer; successive approximation register(SAR); analog-to-digital converter(ADC);

D O I：

10.15918/j.jbit1004-0579.201726.0212

中图分类号：

TN432 [场效应型];

学科分类号：

080903 ; 1401 ;

摘要：

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 180 nm standard CMOS technology,a16-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 3.63μV,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 2.46 mm;.

引用

页码：228 / 234

页数：7

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