• DocumentCode
    190370
  • Title

    Wireless time synchronization of a collaborative brain-computer-interface using bluetooth low energy

  • Author

    Ghoshdastider, Unmesh ; Viga, Reinhard ; Kraft, Michael

  • Author_Institution
    Dept. of Electron. Components & Circuits, Univ. of Duisburg-Essen, Duisburg, Germany
  • fYear
    2014
  • fDate
    2-5 Nov. 2014
  • Firstpage
    2250
  • Lastpage
    2254
  • Abstract
    A wireless EEG-system with high channel density (up to 256) was developed for bio-potential data recording. In order to use this system for a collaborative brain-computer-interface (BCI) multiple EEG sub-systems with a common visually and auditory evoked potential (VEP/AEP) stimulator, a video camera and a PC, all connected to a WLAN, are required. Since each of the components has its own software clock typically based on a quartz crystal, a difference in skew and offset between all system components is induced after a few seconds from their cold start; this is due to the quartz instability of ±50 ppm. To evaluate evoked potentials of different test subjects synchronous in time in a group experiment scenario, it is necessary to implement a common time reference among the entire system. To achieve time synchronization without modifying the existing hardware/software a novel synchronization add-on, and a synchronization center based on Bluetooth were implemented and experimentally evaluated.
  • Keywords
    Bluetooth; biomedical communication; brain-computer interfaces; data recording; electroencephalography; synchronisation; wireless LAN; BCI multiple EEG subsystems; Bluetooth; WLAN; biopotential data recording; brain-computer-interface; channel density; quartz crystal; quartz instability; software clock; video camera; wireless EEG-system; wireless time synchronization; Bluetooth; Collaboration; Delays; Electroencephalography; Protocols; Software; Synchronization; BCI; Bluetooth Low Energy; EEG; Time Synchronization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SENSORS, 2014 IEEE
  • Conference_Location
    Valencia
  • Type

    conf

  • DOI
    10.1109/ICSENS.2014.6985489
  • Filename
    6985489