• DocumentCode
    2491327
  • Title

    Seizure prediction techniques: robustness and performance issues

  • Author

    Lehnertz, Klaus

  • Author_Institution
    Dept. of Epileptology, Bonn Univ. Med. Center, Germany
  • Volume
    3
  • fYear
    2002
  • fDate
    23-26 Oct. 2002
  • Firstpage
    2037
  • Abstract
    Recent research in the field of seizure prediction has shown that "pre-seizure states" lasting minutes to hours can be detected from analysis of EEG time series. This time frame would allow development and testing of specific seizure prevention techniques. Thus, there is now growing interest to bring these analysis techniques to a broader application. Similar demands come from the industry as there is strong interest to incorporate analysis techniques into EEG acquisition systems and, moreover, to develop miniaturized (implantable) devices for seizure prediction and possibly prevention.
  • Keywords
    electroencephalography; medical signal processing; time series; EEG acquisition systems; EEG time series analysis; electrodiagnostics; miniaturized implantable devices; preseizure states; seizure prediction techniques; seizure prevention; seizure prevention techniques testing; Brain modeling; Electroencephalography; Epilepsy; Pattern analysis; Pattern recognition; Performance analysis; Robustness; Signal analysis; Testing; Time series analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-7612-9
  • Type

    conf

  • DOI
    10.1109/IEMBS.2002.1053155
  • Filename
    1053155