• DocumentCode
    2674278
  • Title

    A novel design of EEG signal amplifier

  • Author

    Yuge Sun ; Ning Ye ; Feng Pan

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    3369
  • Lastpage
    3372
  • Abstract
    A novel high-performance EEG signal amplifier based on the driven-right-leg technology was designed in this paper, where the differential amplifier circuit, driven-right-leg circuit and pre-amplifying parts are applied to denoise the common-mode interference signals. The pre-amplifier and 2-stage post-amplifier realize the EEG signal amplified. The two low-pass filters and two 50Hz traps were arranged reasonably to reject the high/medium-frequency interference effectively from the EEG signal. In this way. the efficient EEG signal detection can be implemented under non-shielded room condition. Testing results showed that the performance of all parts of the EEG amplifier satisfies the requirement. The effectiveness of the design was proved by the real EEG signal sampled from the scalp of the detected person.
  • Keywords
    design; differential amplifiers; electroencephalography; interference (signal); low-pass filters; medical signal detection; medical signal processing; signal denoising; 2-stage post-amplifier; EEG signal detection; common-mode interference signal denoising; differential amplifier circuit; driven-right-leg circuit; driven-right-leg technology; frequency 50 Hz; high-medium-frequency interference; low-pass filters; novel EEG signal amplifier design; novel high-performance EEG signal amplifier; preamplifier; scalp; signal sampling; Educational institutions; Electrodes; Electroencephalography; Impedance; Interference; Low pass filters; Noise; 50Hz wave trap; Amplifier; Driven-right-leg; Electroencephalograph; Pre-amplifier;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2012 24th Chinese
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4577-2073-4
  • Type

    conf

  • DOI
    10.1109/CCDC.2012.6244536
  • Filename
    6244536