• DocumentCode
    380583
  • Title

    Automated detection of epileptic seizures in the EEG

  • Author

    Hoeve, Maarten-Jan ; Jones, Richard D. ; Carroll, Grant J. ; Goelz, Hansjerg

  • Author_Institution
    Dept. of Med. Phys. & Bioeng., Christchurch Hosp., New Zealand
  • Volume
    1
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    943
  • Abstract
    A system has been developed to detect epileptic seizures in real-time during long-term EEG (LTEEG) monitoring. LTEEG is an important clinical service provided by the Neurology Department at Christchurch Hospital to investigate patients who have relatively infrequent but recurring seizures over extended periods. The detection algorithm looks for extended amplitude and frequency changes, calculated using basic signal-processing techniques, followed by a rule-based stage which compares time-dependent features against dynamic thresholds for each channel. Spatial context is used to discriminate eye artifacts. The system was tested on EEG data from 5 patients containing 44 epileptic seizures. The sensitivity and selectivity of the algorithm were 88.7% and 92.6% respectively
  • Keywords
    computerised monitoring; diseases; electroencephalography; medical expert systems; medical signal detection; medical signal processing; patient monitoring; real-time systems; LTEEG; basic signal-processing techniques; clinical service; detection algorithm; dynamic thresholds; epileptic seizure automated detection; extended amplitude changes; extended frequency changes; extended periods; eye artifacts; long-term EEG monitoring; real-time; relatively infrequent recurring seizures; rule-based stage; selectivity; sensitivity; spatial context; time-dependent features; Biomedical engineering; Detection algorithms; Electroencephalography; Epilepsy; Frequency; Hospitals; Morphology; Nervous system; Patient monitoring; Physics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
  • Conference_Location
    Istanbul
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-7211-5
  • Type

    conf

  • DOI
    10.1109/IEMBS.2001.1019104
  • Filename
    1019104