DocumentCode
3391695
Title
Wireless integrated circuit for the acquisition of electrocorticogram signals
Author
Anderson, Grant S. ; Harrison, Reid R.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Utah, Salt Lake City, UT, USA
fYear
2010
fDate
May 30 2010-June 2 2010
Firstpage
2952
Lastpage
2955
Abstract
We present the design and characterization of amplifiers and control logic for an integrated circuit designed to record electrocorticograms (ECoG) from the surface of the brain. The chip, which was fabricated in a 0.6-μm BiCMOS process, contains 100 amplifiers, control logic, and circuits for wireless power and transmission of data. ECoG signals, sensed by electrodes, are capacitively coupled to the amplifiers. Each amplifier has a gain of 59.2 dB, a maximum bandwidth of 240 Hz, an input referred noise of 2.8μV, and consumes 4.5μW of power. The output of each amplifier is connected to a 10-bit ADC via an adaptive-bias buffer and transmission gate whose transparency is set by the control logic. The control logic time-shares the ADC by multiplexing through one of five preset patterns of 32 on-chip signals. The digitized waveforms are then broadcasted wirelessly using a 900 MHz FSK transmitter. The entire chip consumes 7.2 mW of power during operation.
Keywords
BiCMOS integrated circuits; amplifiers; analogue-digital conversion; bioelectric phenomena; biomedical electrodes; brain; buffer circuits; multiplexing; ADC; BiCMOS; ECoG; adaptive-bias buffer; amplifiers; bandwidth 240 Hz; brain; control logic; data transmission; electrocorticogram signals; electrodes; frequency 900 MHz; gain 59.2 dB; power 4.5 muW; power 7.2 mW; signal multiplexing; voltage 2.8 muV; wireless integrated circuit; Bandwidth; BiCMOS integrated circuits; Circuit noise; Coupling circuits; Electrodes; Gain; Logic circuits; Logic design; Power amplifiers; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on
Conference_Location
Paris
Print_ISBN
978-1-4244-5308-5
Electronic_ISBN
978-1-4244-5309-2
Type
conf
DOI
10.1109/ISCAS.2010.5538020
Filename
5538020
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