• DocumentCode
    662897
  • Title

    Prescreening seizure-like events in a rat model of epilepsy A: A 2D video processing method

  • Author

    Christ, O. ; Somerlik-Fuchs, Karin H. ; Stieglitz, T. ; Schulze-Bonhage, A. ; Hofmann, U.G.

  • Author_Institution
    Dept. of Neurosurg., Res. Group for Neuroelectron. Syst., Univ. Hosp. Freiburg, Freiburg, Germany
  • fYear
    2013
  • fDate
    6-8 Nov. 2013
  • Firstpage
    113
  • Lastpage
    116
  • Abstract
    Temporal lobe epilepsy is the most common cause of drug-resistant seizures. Electrical stimulation seems to be a promising alternative to the classical anteromesial temporal resection. Our work aims at improving and validating therapeutic approaches for treating temporal lobe epilepsy using high-frequency stimulation. The relative phase clustering index (rPCI) is used to describe the epileptogenicity of a brain region and seizure prediction. A 2D image processing algorithm is presented for facilitating the tedious and time consuming visual image inspection of long term video footage required to determine optimal electrical stimulation parameters. See our companion paper describing the 3D solution in this journal.
  • Keywords
    brain; diseases; medical image processing; neuromuscular stimulation; patient rehabilitation; video signal processing; 2D image processing algorithm; 2D video processing; anteromesial temporal resection; brain region; drug-resistant seizure; electrical stimulation; epileptogenicity; high-frequency stimulation; prescreening seizure-like event; rPCI; rat model; relative phase clustering index; seizure prediction; temporal lobe epilepsy; therapeutic approach; visual image inspection; Algorithm design and analysis; Brain modeling; Epilepsy; Histograms; Surgery; Temporal lobe; Time series analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Engineering (NER), 2013 6th International IEEE/EMBS Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    1948-3546
  • Type

    conf

  • DOI
    10.1109/NER.2013.6695884
  • Filename
    6695884