Title
A Low-Power Integrated Circuit for a Wireless 100-Electrode Neural Recording System
Abstract
Recent work in field of neuroprosthetics has demon- strated that by observing the simultaneous activity of many neu- rons in specific regions of the brain, it is possible to produce con- trol signals that allow animals or humans to drive cursors or pros- thetic limbs directly through thoughts. As neuroprosthetic devices transition from experimental to clinical use, there is a need for fully-implantable amplification and telemetry electronics in close proximity to the recording sites. To address these needs, we devel- oped a prototype integrated circuit for wireless neural recording from a 100-channel microelectrode array. The design of both the system-level architecture and the individual circuits were driven by severe power constraints for small implantable devices; chronically heating tissue by only a few degrees Celsius leads to cell death. Due to the high data rate produced by 100 neural signals, the system must perform data reduction as well. We use a combination of a low-power ADC and an array of "spike detectors" to reduce the transmitted data rate while preserving critical information. The complete system receives power and commands (at 6.5 kb/s) wire- lessly over a 2.64-MHz inductive link and transmits neural data back at a data rate of 330 kb/s using a fully-integrated 433-MHz FSK transmitter. The 4.7 5.9 mm chip was fabricated in a 0.5- m 3M2P CMOS process and consumes 13.5 mW of power. While cross-chip interference limits performance in single-chip op- eration, a two-chip system was used to record neural signals from a Utah Electrode Array in cat cortex and transmit the digitized sig- nals wirelessly to a receiver.
Year
DOI
Venue
2007
10.1109/ISSCC.2006.1696288
IEEE Journal of Solid-state Circuits
Keywords
DocType
Volume
cmos digital integrated circuits,analogue-digital conversion,biomedical electrodes,biomedical electronics,low-power electronics,neural chips,prosthetics,13.5 mw,433 mhz,9 bit,ask inductive link,fsk transmitter,amplified neural data transmission,analog-to-digital converter,flip-chip 3m2p cmos,implantable integrated circuit,low-power integrated circuit,silicon electrodes interface,spike detectors,wireless neural recording system,flip chip,integrated circuit,low power electronics,data reduction
Journal
42
Issue
ISSN
ISBN
1
0193-6530
1-4244-0079-1
Citations 
PageRank 
References 
231
63.24
9
Authors
7
Search Limit
100231
Name
Order
Citations
PageRank
Reid R. Harrison135679.00
Paul T. Watkins223163.24
Ryan J. Kier323163.24
Robert O. Lovejoy423163.24
Daniel J. Black523163.24
richard a normann623163.24
Florian Solzbacher723766.34