TY - JOUR
T1 - Fully-Differential Multichannel Integrated Neural Signal Recording Front-End
AU - Li, Xiaoran
AU - Zhong, Shun'an
AU - Yang, Haidong
AU - Yao, Libin
N1 - Publisher Copyright:
© 2017 Editorial Department of Journal of Beijing Institute of Technology.
PY - 2017/6/1
Y1 - 2017/6/1
N2 - 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, 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 52.6 dB. The core area of the proposed neural recording front-end is about 2.46 mm2.
AB - 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, 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 52.6 dB. The core area of the proposed neural recording front-end is about 2.46 mm2.
KW - Analog-to-digital converter (ADC)
KW - Low noise operational amplifier
KW - Multiplexer
KW - Neuralrecording
KW - Successive approximation register (SAR)
UR - http://www.scopus.com/inward/record.url?scp=85029007616&partnerID=8YFLogxK
U2 - 10.15918/j.jbit1004-0579.201726.0212
DO - 10.15918/j.jbit1004-0579.201726.0212
M3 - Article
AN - SCOPUS:85029007616
SN - 1004-0579
VL - 26
SP - 228
EP - 234
JO - Journal of Beijing Institute of Technology (English Edition)
JF - Journal of Beijing Institute of Technology (English Edition)
IS - 2
ER -