Title :
A TinyOS-based wireless neural interface
Author :
Farshchi, Shahin ; Mody, Istvan ; Judy, Jack W.
Author_Institution :
Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA
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.
Keywords :
biomedical telemetry; electroencephalography; neurophysiology; patient monitoring; EEG; TinyOS-based wireless neural interface; chronic remote biological monitoring; Animal behavior; Brain; Electrodes; Electroencephalography; Epilepsy; Performance evaluation; Sleep; Telemetry; Wireless sensor networks; Wires; Brain-Machine Interface; EEG; Epilepsy; Smart Dust; Telemetry; TinyOS; Wireless;
Conference_Titel :
Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-8439-3
DOI :
10.1109/IEMBS.2004.1404206