• DocumentCode
    3045596
  • Title

    EEG biomedical signal transmission using visible light communication

  • Author

    Dhatchayeny, Durai Rajan ; Sewaiwar, Atul ; Tiwari, Samrat Vikramaditya ; Yeon Ho Chung

  • Author_Institution
    Dept. of Inf. & Commun. Eng., Pukyong Nat. Univ., Busan, South Korea
  • fYear
    2015
  • fDate
    28-30 May 2015
  • Firstpage
    243
  • Lastpage
    246
  • Abstract
    The proliferation of radio frequency communication technology in biomedical signal transmission is frequently flustered by electromagnetic interference (EMI). The impact of EMI radiation has the consequences of the reduction in accuracy and reliability. Even though its flexibility and mobility have wide attraction, the radiation brings damage to hospital equipment and even harm to the humans. Biomedical signals such as Electroencephalography (EEG) are most utilized signals, which measures the electrical brain rhythms and has huge capability to identify or determine the cause of diseases. In this paper, we propose a EEG signal transmission system using visible light communication. We employ On-Off Keying (OOK) modulation scheme for transmitting the data and RGB LEDs and photodiodes are used for uplink transmission. Computer simulations are carried out using 10 channels of raw EEG signals with the precision of signal values mainly focused. The results demonstrate that it achieves a Bit Error Rate (BER) better than 1.5×10-5 at a Signal to Noise Ratio (SNR) value of 7 dB, thus exhibiting robust reliability and accuracy compared with conventional transmission methods.
  • Keywords
    diseases; electroencephalography; electromagnetic interference; error statistics; medical signal processing; photodiodes; EEG biomedical signal transmission; EMI radiation; OOK modulation; RGB LED; SNR; bit error rate; computer simulations; diseases; electrical brain rhythms; electroencephalography; electromagnetic interference; hospital equipment; on-off keying modulation; photodiodes; radiofrequency communication technology; signal-to-noise ratio; uplink transmission; visible light communication; Bit error rate; Electroencephalography; Image color analysis; Light emitting diodes; Medical services; Reliability; Signal to noise ratio; EEG; Visible Light Communication; healthcare;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Instrumentation and Control (ICIC), 2015 International Conference on
  • Conference_Location
    Pune
  • Type

    conf

  • DOI
    10.1109/IIC.2015.7150746
  • Filename
    7150746