• DocumentCode
    1984318
  • Title

    Seizure anticipation techniques: state of the art and future requirements

  • Author

    Lehnertz, K.

  • Author_Institution
    Dept. of Epileptology, Bonn Univ. Med. Center, Germany
  • Volume
    4
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    4121
  • Abstract
    Recent research in seizure anticipation has shown that "pre-seizure states" can be detected several minutes in advance 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 in hospitals. Similar demands come from the industry as there is strong interest to incorporate analysis techniques into EEG acquisition systems and, moreover, to develop miniaturized possibly implantable devices for seizure anticipation and possibly prevention. This report gives an overview of the state of the art of seizure anticipation techniques and addresses future requirements to allow realization of seizure anticipation devices.
  • Keywords
    brain models; diseases; electroencephalography; medical signal detection; medical signal processing; pattern recognition; prosthetics; reviews; time series; EEG acquisition systems; EEG time series; future requirements; hospitals; implantable devices; industry; miniaturized devices; overview; pre-seizure states; seizure anticipation techniques; seizure prevention techniques; state of the art; Biological neural networks; Brain modeling; Electroencephalography; Epilepsy; Monitoring; Pattern analysis; Pattern recognition; Spectral analysis; Time measurement; Time series analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-7211-5
  • Type

    conf

  • DOI
    10.1109/IEMBS.2001.1019763
  • Filename
    1019763