A 8.6 W 3-bit programmable gain amplifier for multiplexed-input neural recording systems

Khaled Al-Ashmouny, Sun Il Chang, Euisik Yoon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

We report a fully-integrated low-power 3-bit programmable-gain amplifier (PGA) that can be used as the second stage amplifier to adjust the gain for multi-channel neural recording systems. The design strategy maximizes energy-efficiency using a technique by optimizing a slew rate, gain and phase margin. The PGA consumes 8.66W from 1-V single supply. This is an order of magnitude lower than the previous designs reported up to date. Analysis, simulation, and measurement results will be described in detail for a part of a multiplexed 16-channels neural recording system. In this implementation, while giving a full flexibility of gain control, the overhead for each channel is quite negligible: only 0.54W in power and less than 0.002mm 2 in area.

Original languageEnglish
Title of host publication33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Pages2945-2948
Number of pages4
DOIs
Publication statusPublished - 2011 Dec 26
Event33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, United States
Duration: 2011 Aug 302011 Sep 3

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)1557-170X

Other

Other33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
CountryUnited States
CityBoston, MA
Period11/8/3011/9/3

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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    Al-Ashmouny, K., Chang, S. I., & Yoon, E. (2011). A 8.6 W 3-bit programmable gain amplifier for multiplexed-input neural recording systems. In 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 (pp. 2945-2948). [6090810] (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). https://doi.org/10.1109/IEMBS.2011.6090810