A 1.83 μw, 0.78 μvrms input referred noise neural recording front end

doi:10.1109/ISCAS.2013.6571866

UM > THE STATE KEY LABORATORY OF ANALOG AND MIXED-SIGNAL VLSI (UNIVERSITY OF MACAU)

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Status	已發表Published
	A 1.83 μw, 0.78 μvrms input referred noise neural recording front end
	Jiangchao Wu 1; Man-Kay Law1 ; Pui-In Mak1 ; Rui P. Martins1,2
	2013-09-09
Conference Name	IEEE International Symposium on Circuits and Systems (ISCAS)
Source Publication	2013 IEEE International Symposium on Circuits and Systems (ISCAS2013)
Pages	405-408
Conference Date	MAY 19-23, 2013
Conference Place	Beijing, PEOPLES R CHINA
Abstract	This paper describes a neural recording front end for both Local Field Potential (LFP) and Spike Potential (SP) recordings, which range from 0.1 Hz ∼ 200 Hz and 200 Hz ∼ 10 kHz, respectively. Based on the capacitively-coupled chopper instrumentation amplifier (CCIA) topology, a ripple reduction loop (RRL) is used to suppress the chopping ripple. A DC servo loop (DSL) that utilizes pseudo-feedback to achieve a very small unity gain bandwidth with reduced capacitor size while consuming only 12 nA is proposed. The proposed CCIA is implemented in a standard 0.18 μm CMOS process. Simulation results show that with a total power consumption of 1.525 μA from a 1.2 V supply, a NEF of 2.73 (LFP) and 2.6 (SP) can be achieved. © 2013 IEEE.
DOI	10.1109/ISCAS.2013.6571866
URL	View the original
Indexed By	CPCI-S
Language	英語English
WOS Research Area	Engineering
WOS Subject	Engineering, Electrical & Electronic
WOS ID	WOS:000332006800100
Scopus ID	2-s2.0-84883370930
Fulltext Access	View Full-Text via DOI View Full-Text via Web of Science View Full-Text via Scopus
Citation statistics
Document Type	Conference paper
Collection	THE STATE KEY LABORATORY OF ANALOG AND MIXED-SIGNAL VLSI (UNIVERSITY OF MACAU) Faculty of Science and Technology INSTITUTE OF MICROELECTRONICS DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Affiliation	1.The State Key Laboratory of Analog and Mixed-Signal VLSI, University of Macau, Macao, China 2.On leave from Instituto Superior Técnico (IST)/TU of Lisbon, Portugal
First Author Affilication	University of Macau
Recommended Citation GB/T 7714	Jiangchao Wu,Man-Kay Law,Pui-In Mak,et al. A 1.83 μw, 0.78 μvrms input referred noise neural recording front end[C], 2013, 405-408.
APA	Jiangchao Wu., Man-Kay Law., Pui-In Mak., & Rui P. Martins (2013). A 1.83 μw, 0.78 μvrms input referred noise neural recording front end. 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 405-408.

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