DocumentCode
1239219
Title
The Design of Integrated Circuits to Observe Brain Activity
Author
Harrison, Reid R.
Author_Institution
Dept. of Electr. & Comput. Eng., Utah Univ., Salt Lake City, UT
Volume
96
Issue
7
fYear
2008
fDate
7/1/2008 12:00:00 AM
Firstpage
1203
Lastpage
1216
Abstract
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.
Keywords
biomedical electrodes; biomedical electronics; brain; integrated circuit design; medical signal processing; neurophysiology; brain activity; data reduction; electrical activity; electrodes; integrated circuit design; integrated electronics; merge miniature multielectrode neural recording arrays; multiple neurons; neural signal amplification; Application specific integrated circuits; Brain; Circuit synthesis; Electrodes; Heating; Monitoring; Neurons; Power dissipation; Telemetry; Tissue damage; Amplifiers; analog integrated circuits; biomedical signal processing; low-power circuit design; neural recording; subthreshold circuit design;
fLanguage
English
Journal_Title
Proceedings of the IEEE
Publisher
ieee
ISSN
0018-9219
Type
jour
DOI
10.1109/JPROC.2008.922581
Filename
4536582
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