• DocumentCode
    143264
  • Title

    Mixed-signal energy feature extractor of EEG frequency bands

  • Author

    Carrasco-Robles, Manuel ; Delgado-Restituto, Manuel

  • Author_Institution
    Inst. of Microelectron. of Seville (IMSE), CNM, Seville, Spain
  • fYear
    2014
  • fDate
    25-28 Feb. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper proposes a SAR-based circuit suitable to obtain the amount of signal energy contained in EEG frequency bands. It uses a reconfigurable topology which, in a first stage, acts as a conventional data converter for the incoming neural signal and, in a second stage, performs the squaring operation needed for energy extraction. A simple digital circuit keeps track of the most recent outputs from the squarer and provides the accumulated value of the input signal energy. The system has been simulated in an XFAB 0.18μm technology showing correct measurement of the energy.
  • Keywords
    electroencephalography; feature extraction; medical signal processing; EEG frequency band; SAR based circuit; energy extraction; mixed signal energy feature extractor; reconfigurable topology; squaring operation; Capacitors; Data conversion; Electroencephalography; Energy measurement; Feature extraction; Registers; Scalp;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (LASCAS), 2014 IEEE 5th Latin American Symposium on
  • Conference_Location
    Santiago
  • Print_ISBN
    978-1-4799-2506-3
  • Type

    conf

  • DOI
    10.1109/LASCAS.2014.6820311
  • Filename
    6820311