Design of integrated circuits to observe brain activity

Update Item Information
Publication Type Journal Article
School or College College of Engineering
Department Electrical & Computer Engineering
Creator Harrison, Reid R.
Title Design of integrated circuits to observe brain activity
Date 2008-01-01
Description The ability to monitor the simultaneous electrical activity of multiple neurons in the brain enables a wide range of scientific and clinical endeavors. Recent efforts to merge miniature multielectrode neural recording arrays with integrated electronics have revealed significant circuit design challenges. Weak neural signals must be amplified and filtered using low-noise circuits placed close to the electrodes themselves, but power dissipation must strictly be limited to prevent tissue damage due to local heating. In modern recording systems with 100 or more electrodes, raw data rates of 15 Mb/s or more are easily produced. Micropower wireless telemetry circuits cannot transmit information at such high rates, so data reduction must be performed in the implanted device. In this paper, we present integrated circuits and design techniques that address the twin problems of neural signal amplification and data reduction for this severely size- and power-limited application.
Type Text
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Journal Title Proceedings of the IEEE
Volume 96
Issue 7
First Page 1203
Last Page 16
Subject Amplifiers; Analog integrated circuits; Biomedical signal processing; Low-power circuit design; Neural recording; Subthreshold circuit design; Neural signals; Brain activity
Subject LCSH Integrated circuits; Microelectrodes; Implants, Artificial; Biotelemetry; Brain -- Electric properties; Brain -- Electric properties; Electroencephalography
Language eng
Bibliographic Citation Harrison, R. R. (2008). Design of integrated circuits to observe brain activity. Proceedings of the IEEE, 96(7), 1203-16. July.
Rights Management (c) 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Format Medium application/pdf
Format Extent 1,645,438 bytes
Identifier ir-main,13947
ARK ark:/87278/s64464sc
Setname ir_uspace
ID 704661
Reference URL https://collections.lib.utah.edu/ark:/87278/s64464sc
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