• DocumentCode
    654856
  • Title

    Investigating the choice factors on the use of XBee/Bluetooth as the communication scheme in EEG sensor networks

  • Author

    Onunka, Chiemela ; Bright, Glen ; Stopforth, Riaan

  • Author_Institution
    Discipline of Mech. Eng., Univ. of KwaZulu-Natal, Durban, South Africa
  • fYear
    2013
  • fDate
    30-31 Oct. 2013
  • Firstpage
    52
  • Lastpage
    57
  • Abstract
    In recent technological developments, there has been an increase in the available wearable EEG data acquisition system. Current EEG data transmission uses wireless personal area network (WPAN) technology such as proprietary radio frequency, XBee and Bluetooth technology. As the opportunities offered in the uses of EEG data in automation and remote control strategies are expanding, there are choice factors associated with its use. Considerations with regards to convenience, quality of service (QoS), network optimization and network bit error rate (BER) are factors influencing the transmission of EEG data in WPAN. This paper discusses the choice factors associated with use of WPAN in EEG data transmission and communication scheme in automation and remote control applications.
  • Keywords
    Bluetooth; biomedical equipment; data acquisition; data communication; electroencephalography; error statistics; medical signal processing; personal area networks; telecontrol; wireless sensor networks; EEG data transmission; EEG sensor networks; WPAN technology; XBee-Bluetooth technology; automation control strategies; communication scheme; network bit error rate; network optimization; remote control strategies; wearable EEG data acquisition system; wireless personal area network technology; Africa; Biosensors; Communication networks; Electroencephalography; Quality of service; Wireless personal area networks; BER; EEG; WPAN;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Mechatronics Conference (RobMech), 2013 6th
  • Conference_Location
    Durban
  • Type

    conf

  • DOI
    10.1109/RoboMech.2013.6685491
  • Filename
    6685491