DocumentCode
727360
Title
Design of a low-noise, high power efficiency neural recording front-end with an integrated real-time compressed sensing unit
Author
Xilin Liu ; Hongjie Zhu ; Milin Zhang ; Richardson, Andrew G. ; Lucas, Timothy H. ; Van der Spiegel, Jan
fYear
2015
fDate
24-27 May 2015
Firstpage
2996
Lastpage
2999
Abstract
This paper presents a 12-channel, low-power, high efficiency neural signal acquisition front-end for local field potential and action potential signals recording. The proposed neural front-end integrates low noise instrumentation amplifiers, low-power filter stages with configurable gain and cut-off frequencies, a successive approximation register (SAR) ADC, and a realtime compressed sensing processing unit. A capacitor coupled instrumentation amplifier integrated input impedance boosting has been designed, dissipating 1μA quiescent current. An input referred noise of 1.63μV was measured in the frequency band of 1Hz to 7kHz. The noise efficiency factor (NEF) of the amplifier is 0.76. The SAR ADC achieves an ENOB of 10.6-bit at a sampling rate of 1MS/s. A compressed sensing processing unit with configurable compression ratio, up to 8x, was integrated in the design. The design has been fabricated in 180nm CMOS, occupying 4.5mm×1.5mm silicon area. A portable neural recorder has been built with the custom IC and a commercial low-power wireless module. A 4.6g lithium battery supports the device for a continuous compressed sensing recording up to 70 hours.
Keywords
CMOS analogue integrated circuits; analogue-digital conversion; approximation theory; biomedical electronics; capacitors; compressed sensing; instrumentation amplifiers; integrated circuit design; low noise amplifiers; medical signal detection; power filters; 12-channel low-power high efficiency neural signal acquisition front-end; ADC; CMOS technology; IC; NEF; SAR; current 1 muA; frequency 1 Hz to 7 kHz; integrated input impedance boosting; integrated real-time compressed sensing processing unit; lithium battery; low noise capacitor coupled instrumentation amplifier; low power filter; low-power wireless module; neural signal recording front-end; noise efficiency factor; portable neural recorder; size 180 nm; successive approximation register; voltage 1.63 muV; word length 10.6 bit; Bandwidth; Capacitors; Compressed sensing; Instruments; Noise; Wireless communication; Wireless sensor networks; Neural amplifier; SAR ADC; compressed sensing; high noise efficiency;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems (ISCAS), 2015 IEEE International Symposium on
Conference_Location
Lisbon
Type
conf
DOI
10.1109/ISCAS.2015.7169317
Filename
7169317
Link To Document