• DocumentCode
    1221807
  • Title

    Pattern Recognition Techniques for the Detection of Epileptic Transients in EEG

  • Author

    Birkemeier, William P. ; Fontaine, A.Burr ; Celesia, Gastone G. ; Ma, Ken M.

  • Author_Institution
    Department of Electrical and Computer Engineering, University of Wisconsin
  • Issue
    3
  • fYear
    1978
  • fDate
    5/1/1978 12:00:00 AM
  • Firstpage
    213
  • Lastpage
    217
  • Abstract
    Epileptic transients (ET) in EEG, characterized by their amplitude and duration, are compared to background activity by means of cluster analysis in a two-dimensional amplitude-duration sample space. Decisions between ET and background are then carried out by assigning an optimum boundary between the clusters. By filtering the EEG signal using linear prediction followed by second differentiation, a useful degree of cluster separation is achieved. The probability of correct decisions is thus enhanced. Data for several patients are shown.
  • Keywords
    Electroencephalography; Epilepsy; Filtering; Fluctuations; Manufacturing; Neurophysiology; Nonlinear filters; Pattern recognition; Signal detection; Transient analysis; Electroencephalography; Epilepsy; Humans; Methods; Models, Biological;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.1978.326324
  • Filename
    4122817
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1221807