• DocumentCode
    2744330
  • 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
  • Volume
    2
  • fYear
    2004
  • fDate
    1-5 Sept. 2004
  • Firstpage
    4334
  • Lastpage
    4337
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • 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
  • Type

    conf

  • DOI
    10.1109/IEMBS.2004.1404206
  • Filename
    1404206