Low power implantable neural recording front-end
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...
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sg-ntu-dr.10356-1002302020-03-07T13:24:49Z Low power implantable neural recording front-end Do, Anh Tuan Tan, Yung Sern Lam, Chun Kit Je, Minkyu Yeo, Kiat Seng School of Electrical and Electronic Engineering International SoC Design Conference (2012 : Jeju, Korea) DRNTU::Engineering::Electrical and electronic engineering 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. 2013-09-23T07:38:41Z 2019-12-06T20:18:57Z 2013-09-23T07:38:41Z 2019-12-06T20:18:57Z 2012 2012 Conference Paper Do, A. T., Tan, Y. S., Lam, C. K., Je, M., & Yeo, K. S. (2012). Low power implantable neural recording front-end. 2012 International SoC Design Conference (ISOCC 2012). https://hdl.handle.net/10356/100230 http://hdl.handle.net/10220/13599 10.1109/ISOCC.2012.6407122 en |
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DRNTU::Engineering::Electrical and electronic engineering Do, Anh Tuan Tan, Yung Sern Lam, Chun Kit Je, Minkyu Yeo, Kiat Seng Low power implantable neural recording front-end |
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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. |
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School of Electrical and Electronic Engineering |
author_facet |
School of Electrical and Electronic Engineering Do, Anh Tuan Tan, Yung Sern Lam, Chun Kit Je, Minkyu Yeo, Kiat Seng |
format |
Conference or Workshop Item |
author |
Do, Anh Tuan Tan, Yung Sern Lam, Chun Kit Je, Minkyu Yeo, Kiat Seng |
author_sort |
Do, Anh Tuan |
title |
Low power implantable neural recording front-end |
title_short |
Low power implantable neural recording front-end |
title_full |
Low power implantable neural recording front-end |
title_fullStr |
Low power implantable neural recording front-end |
title_full_unstemmed |
Low power implantable neural recording front-end |
title_sort |
low power implantable neural recording front-end |
publishDate |
2013 |
url |
https://hdl.handle.net/10356/100230 http://hdl.handle.net/10220/13599 |
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1681043111855259648 |