Title :
Low power implantable neural recording front-end
Author :
Anh Tuan Do ; YungSern Tan ; Chunkit Lam ; Minkyu Je ; Kiat Seng Yeo
Author_Institution :
IC Design Centre of Excellence, Nanyang Technol. Univ., Singapore, Singapore
Abstract :
Low power smart electronic designs for neural recording applications have recently become a major research topic in circuits and system society. Challenged by the complicated nature of the biology-electronic interface, implantable neural recording circuits must offer high quality signal acquisition while consuming as little power as possible. Furthermore, many applications demand on-chip smart features to maximize energy efficiency as well as to assist the subsequent software-based digital signal processing. This paper reviews the recent advancements in the field, followed by a proposed ultra low-power recording front-end. The proposed design consists of an adjustable gain and bandwidth low-noise amplifier, a bandpass filter, a unity gain buffer and a 9-bit ADC. When simulated using a 0.18 μm/1 V CMOS process, the whole channel consumes only 2.76 μW.
Keywords :
CMOS integrated circuits; analogue-digital conversion; band-pass filters; low noise amplifiers; low-power electronics; 9-bit ADC; CMOS process; bandpass filter; biology-electronic interface; energy efficiency; high quality signal acquisition; low power implantable neural recording front-end; low power smart electronic design; low-noise amplifier; on-chip smart feature; power 2.76 muW; size 0.18 micron; software-based digital signal processing; ultra low-power recording front-end; unity gain buffer; word length 9 bit; Band pass filters; Bandwidth; Capacitors; Cutoff frequency; Gain; Noise; Power demand; Neural amplifier; low power; low voltage;
Conference_Titel :
SoC Design Conference (ISOCC), 2012 International
Conference_Location :
Jeju Island
Print_ISBN :
978-1-4673-2989-7
Electronic_ISBN :
978-1-4673-2988-0
DOI :
10.1109/ISOCC.2012.6407122