title: A TinyOS-based wireless neural interface.
abstract: 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.
authors.affiliation: Electrical Engineering Department, University of California, Los Angeles, CA, USA.
authors.forename: Shahin
authors.initials: S
authors.lastname: Farshchi
authors.forename: Istvan
authors.initials: I
authors.lastname: Mody
authors.forename: Jack W
authors.initials: JW
authors.lastname: Judy