• DocumentCode
    1090640
  • Title

    A simplified arithmetic detector for EEG sharp transients-preliminary results

  • Author

    Qian, Juan ; Barlow, John S. ; Beddoes, Michael P.

  • Author_Institution
    Dept. of Radio Eng., South China Inst. of Technol., Canton, China
  • Volume
    35
  • Issue
    1
  • fYear
    1988
  • Firstpage
    11
  • Lastpage
    18
  • Abstract
    A simplified method is described for the detection of electroencephalographic sharp transients (STs), i.e. spikes and sharp waves. The detector consists of two stages. The first is a different filter (i.e. the difference between the current sample point and one given a number of samples earlier), which emphasizes the principal frequency components of STs and can be viewed as a combined slope-duration evaluator. The second stage consists of a product operator, the inputs for which are the output of the difference filter and a slightly delayed version of the latter, thereby imposing some smoothing (low-pass filtering). For signaling the occurrence of STs, the output of the product operator (which, within its passband, can be considered a squarer) is compared to a threshold that is estimated probabilistically (e.g., p=0.001) from the entire current EEG epoch (nominally 4 s). The method, for which some preliminary results are included, uses simple arithmetic procedures and has some intrinsic artifact-rejection features.
  • Keywords
    electroencephalography; signal processing; EEG epoch; EEG sharp transients; artifact-rejection features; combined slope-duration evaluator; different filter; product operator; sharp waves; simplified arithmetic detector; spikes; Arithmetic; Delay; Detectors; Electroencephalography; Filtering; Frequency; Low pass filters; Passband; Smoothing methods; Sociotechnical systems; Electroencephalography; Probability; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/10.1331
  • Filename
    1331