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Low Power Implantable Neural Recording Front-End
Conference proceeding

Low Power Implantable Neural Recording Front-End

Anh Tuan Do, YungSern Tan, Chunkit Lam, Minkyu Je, Kiat Seng Yeo and IEEE
2012 INTERNATIONAL SOC DESIGN CONFERENCE (ISOCC), pp.387-390
International SoC Design Conference
01/01/2012

Abstract

Engineering Engineering, Electrical & Electronic Science & Technology Technology
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 band-pass filter, a unity gain buffer and a 9-bit ADC. When simulated using a 0.18 mu m/1 V CMOS process, the whole channel consumes only 2.76 mu W.

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