Embedded Neural Recording With TinyOS-Based Wireless-Enabled Processor Modules
Name
Farshchi-2010-Embedded Neural Recording With TinyOS-Based Wireless-Enabled Processor Modules.pdf
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503.48 KB
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Author(s)
Farshchi, Shahin
Pesterev, Aleksey
Nuyujukian, Paul
Guenterberg, Eric
Mody, Istvan
Judy, Jack W.
Date Issued
April 2010
Journal
IEEE Transactions on Neural Systems and Rehabilitation Engineering
Publisher
Institute of Electrical and Electronics Engineers
Citation
Farshchi, Shahin et al. “Embedded Neural Recording With TinyOS-Based Wireless-Enabled Processor Modules.” IEEE Transactions on Neural Systems and Rehabilitation Engineering 18.2 (2010): 134–141. Web. © 2010 IEEE.
Version
Final published version
Abstract
To create a wireless neural recording system that can benefit from the continuous advancements being made in embedded microcontroller and communications technologies, an embedded-system-based architecture for wireless neural recording has been designed, fabricated, and tested. The system consists of commercial-off-the-shelf wireless-enabled processor modules (motes) for communicating the neural signals, and a back-end database server and client application for archiving and browsing the neural signals. A neural-signal-acquisition application has been developed to enable the mote to either acquire neural signals at a rate of 4000 12-bit samples per second, or detect and transmit spike heights and widths sampled at a rate of 16670 12-bit samples per second on a single channel. The motes acquire neural signals via a custom low-noise neural-signal amplifier with adjustable gain and high-pass corner frequency that has been designed, and fabricated in a 1.5-μm CMOS process. In addition to browsing acquired neural data, the client application enables the user to remotely toggle modes of operation (real-time or spike-only), as well as amplifier gain and high-pass corner frequency.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/tnsre.2009.2039606
