• DocumentCode
    3395004
  • Title

    Development of an AR-pole statistic for ECoG seizure detection

  • Author

    Bozek-Kuzmicki, Maribeth ; Weinstein, Steven L. ; Benke, George ; Schiff, Steven J.

  • Author_Institution
    Mitre Corp., McLean, VA, USA
  • Volume
    2
  • fYear
    1995
  • fDate
    20-23 Sep 1995
  • Firstpage
    935
  • Abstract
    The authors consider the problem of epileptic seizure detection and focus localization from ECoG signals. ECoG are subdural recordings of electric potentials collected by invasively placing a grid on the surface of the brain. A statistic based on an autoregressive (AR) model has been developed to aid in seizure detection and localization. Specifically, the authors build a statistic based on the location of three dominant poles (obtained from the AR polynomial) relative to the unit circle. This statistic has produced results that are in agreement with findings by clinical ECoG readers for five patient cases examined
  • Keywords
    autoregressive processes; electroencephalography; medical signal processing; statistical analysis; AR polynomial; AR-pole statistic; ECoG seizure detection; autoregressive model; brain surface; dominant poles; electrodiagnostics; epilepsy; patient cases; unit circle; Drugs; Electric potential; Electrodes; Epilepsy; Frequency; Medical signal detection; Pediatrics; Polynomials; Statistics; Surface morphology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    0-7803-2475-7
  • Type

    conf

  • DOI
    10.1109/IEMBS.1995.579356
  • Filename
    579356