• DocumentCode
    626658
  • Title

    Similarity-index early seizure detector VLSI architecture

  • Author

    Vidwans, Abhinav ; Abdelhalim, Karim ; Genov, Roman

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada
  • fYear
    2013
  • fDate
    19-23 May 2013
  • Firstpage
    853
  • Lastpage
    856
  • Abstract
    A low power VLSI architecture implementing an algorithm for early seizure detection in epileptic patients using intracranial or scalp EEG data is proposed. The algorithm tested over more than 40 hours of recording from standard databases achieves a best-case result of 100% sensitivity at a false positive rate of 0.2 per hour. The algorithm is programmed on an FPGA and was experimentally validated along with a neural recording SoC chip to demonstrate a real-time seizure detection microsystem.
  • Keywords
    VLSI; electroencephalography; field programmable gate arrays; low-power electronics; medical signal processing; seizure; system-on-chip; EEG; FPGA; SoC chip; epileptic patients; low power VLSI architecture; real-time seizure detection microsystem; similarity-index early seizure detector VLSI architecture; Computer architecture; Detectors; Electroencephalography; Field programmable gate arrays; Indexes; System-on-chip; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2013 IEEE International Symposium on
  • Conference_Location
    Beijing
  • ISSN
    0271-4302
  • Print_ISBN
    978-1-4673-5760-9
  • Type

    conf

  • DOI
    10.1109/ISCAS.2013.6571981
  • Filename
    6571981