• DocumentCode
    3063711
  • Title

    Epileptic seizure detection in EEG recordings using phase congruency

  • Author

    Wongsawat, Yodchanan

  • Author_Institution
    Department of Biomedical Engineering, Mahidol University, 25/25 Phuttamonthon Sai 4 Rd., Salaya, Nakhonpathom 73170, Thailand
  • fYear
    2008
  • fDate
    20-25 Aug. 2008
  • Firstpage
    927
  • Lastpage
    930
  • Abstract
    This paper presents the use of phase congruency to robustly detect the epileptic seizure. Phase congruency is calculated from log Gabor wavelets. Numbers of spikes detected from the phase congruency of two classes of EEG data (epilepsy and seizure free) are used as the features of interest. By using only one dimensional features, the detection accuracies of the proposed method are comparable with the existing magnitude-based methods.
  • Keywords
    Biomedical measurements; Computer vision; Data acquisition; Databases; Diseases; Electroencephalography; Epilepsy; Phase detection; Robustness; Wavelet transforms; Algorithms; Artificial Intelligence; Diagnosis, Computer-Assisted; Electroencephalography; Epilepsy; Humans; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-1814-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2008.4649306
  • Filename
    4649306