• DocumentCode
    3112923
  • Title

    Muscle and eye movement artifact removal prior to EEG source localization

  • Author

    Hallez, Hans ; Vergult, Anneleen ; Phlypo, Ronald ; Hese, Peter Van ; Clercq, Wim De ; Asseler, Yves D. ; De Walle, Rik Van ; Vanrumste, Bart ; Paesschen, Wim Van ; Huffel, Sabine Van ; Lemahieu, Ignace

  • Author_Institution
    Dept. of Electron. & Inf. Syst., Ghent Univ.
  • fYear
    2006
  • fDate
    Aug. 30 2006-Sept. 3 2006
  • Firstpage
    1002
  • Lastpage
    1005
  • Abstract
    Muscle and eye movement artifacts are very prominent in the ictal EEG of patients suffering from epilepsy, thus making the dipole localization of ictal activity very unreliable. Recently, two techniques (BSS-CCA and pSVD) were developed to remove those artifacts. The purpose of this study is to assess whether the removal of muscle and eye movement artifacts improves the EEG dipole source localization. We used a total of 8 EEG fragments, each from another patient, first unfiltered, then filtered by the BSS-CCA and pSVD. In both the filtered and unfiltered EEG fragments we estimated multiple dipoles using RAP-MUSIC. The resulting dipoles were subjected to a K-means clustering algorithm, to extract the most prominent cluster. We found that the removal of muscle and eye artifact results to tighter and more clear dipole clusters. Furthermore, we found that localization of the filtered EEG corresponded with the localization derived from the ictal SPECT in 7 of the 8 patients. Therefore, we can conclude that the BSS-CCA and pSVD improve localization of ictal activity, thus making the localization more reliable for the presurgical evaluation of the patient
  • Keywords
    biomechanics; electroencephalography; eye; filtering theory; medical signal processing; muscle; neurophysiology; pattern clustering; EEG dipole source localization; K-means clustering algorithm; RAP-MUSIC; epilepsy; eye movement artifact removal; filtered EEG fragments; ictal SPECT; ictal activity; muscle movement artifact removal; presurgical evaluation; unfiltered EEG fragments; Autocorrelation; Brain modeling; Cities and towns; Electroencephalography; Epilepsy; Focusing; Inverse problems; Muscles; Scalp; Source separation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
  • Conference_Location
    New York, NY
  • ISSN
    1557-170X
  • Print_ISBN
    1-4244-0032-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2006.260451
  • Filename
    4461923