• DocumentCode
    3685357
  • Title

    Automatic localization of epileptic spikes in eegs of children with infantile spasms

  • Author

    Supachan Traitruengsakul;Laurie E. Seltzer;Alex R. Paciorkowski;Behnaz Ghoraani

  • Author_Institution
    Rochester Institute of Technology, Biomedical Engineering Department, USA
  • fYear
    2015
  • Firstpage
    6194
  • Lastpage
    6197
  • Abstract
    A novel methodology is proposed for identifying epileptiform discharges associated with individuals exhibiting Infantile Spasms (ISS) also known as West Syndrome, which is characterized by electroencephalogram (EEG) recordings exhibiting hypsarrythmia (HYPS). The approach to identify these discharges consists of three stages: first - construct the time-frequency domain (TFD) of the EEG recording using matching pursuit TFD (MP-TFD), second - decompose the TFD matrix into two submatrices (W, H) using non-negative matrix factorization (NMF), and third - use the decomposed spectral and temporal vectors to locate the epileptiform discharges, referred to as spikes, during intervals of HYPS. The method was applied to an EEG dataset of five individuals and the identification of spike locations was compared with those which were visually identified by the epileptologists and those obtained using commercially available clinical analysis software. The MP-TFD method resulted in average true positive and false negative percentages of 86% and 14%, respectively, which represents a significant improvement over the clinical software, which achieved average true positive and false negative percentages of 4% and 96%, respectively.
  • Keywords
    "Electroencephalography","Time-frequency analysis","Matrix decomposition","Algorithm design and analysis","Discharges (electric)","Software","Feature extraction"
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Electronic_ISBN
    1558-4615
  • Type

    conf

  • DOI
    10.1109/EMBC.2015.7319807
  • Filename
    7319807