DocumentCode :
1051230
Title :
Wireless Neural Recording With Single Low-Power Integrated Circuit
Author :
Harrison, Reid R. ; Kier, Ryan J. ; Chestek, Cynthia A. ; Gilja, Vikash ; Nuyujukian, Paul ; Ryu, Stephen ; Greger, Bradley ; Solzbacher, Florian ; Shenoy, Krishna V.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Utah, Salt Lake City, UT, USA
Volume :
17
Issue :
4
fYear :
2009
Firstpage :
322
Lastpage :
329
Abstract :
We present benchtop and in vivo experimental results from an integrated circuit designed for wireless implantable neural recording applications. The chip, which was fabricated in a commercially available 0.6- mum 2P3M BiCMOS process, contains 100 amplifiers, a 10-bit analog-to-digital converter (ADC), 100 threshold-based spike detectors, and a 902-928 MHz frequency-shift-keying (FSK) transmitter. Neural signals from a selected amplifier are sampled by the ADC at 15.7 kSps and telemetered over the FSK wireless data link. Power, clock, and command signals are sent to the chip wirelessly over a 2.765-MHz inductive (coil-to-coil) link. The chip is capable of operating with only two off-chip components: a power/command receiving coil and a 100-nF capacitor.
Keywords :
BiCMOS integrated circuits; UHF integrated circuits; amplifiers; analogue-digital conversion; capacitors; coils; frequency shift keying; neural chips; neurophysiology; prosthetics; radio links; radio transmitters; 2P3M BiCMOS process; FSK wireless data link; amplifiers; analog-to-digital converter; capacitance 100 nF; capacitor; coil-to-coil link; command receiving coil; frequency 2.765 MHz; frequency 902 MHz to 928 MHz; frequency-shift-keying transmitter; inductive link; power receiving coil; single low-power integrated circuit; size 0.6 mum; threshold-based spike detectors; wireless implantable neural recording; Brain–machine interface (BMI); low power; neural prosthetics; telemetry; wireless; Action Potentials; Amplifiers, Electronic; Equipment Design; Equipment Failure Analysis; Nerve Net; Pattern Recognition, Automated; Reproducibility of Results; Semiconductors; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Telemetry;
fLanguage :
English
Journal_Title :
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1534-4320
Type :
jour
DOI :
10.1109/TNSRE.2009.2023298
Filename :
5061585
Link To Document :
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