A TinyOS-based wireless neural interface.
The overlay of a neural interface upon a TinyOS-based sensing and communication platform is described. The system amplifies, digitally encodes, and transmits two EEG channels of neural signals from an un-tethered subject to a remote gateway, which routes the signals to a client PC. This work demonstrates the viability of the TinyOS-based sensor technology as a foundation for chronic remote biological monitoring applications, and thus provides an opportunity to create a system that can leverage from the frequent networking and communications advancements being made by the global TinyOS-development community.
Farshchi
Shahin
S
Electrical Engineering Department, University of California, Los Angeles, CA, USA.
Mody
Istvan
I
Judy
Jack W
JW