• DocumentCode
    2948892
  • Title

    3D handheld laser scanner based approach for automatic identification and localization of EEG sensors

  • Author

    Koessler, Laurent ; Cecchin, Thierry ; Ternisien, Eric ; Maillard, Louis

  • Author_Institution
    Centre de Rech. en Autom. de Nancy (CRAN), Nancy-Univ., Nancy, France
  • fYear
    2010
  • fDate
    Aug. 31 2010-Sept. 4 2010
  • Firstpage
    3707
  • Lastpage
    3710
  • Abstract
    This paper describes and assesses for the first time the use of a handheld 3D laser scanner for scalp EEG sensor localization and co-registration with magnetic resonance images. Study on five subjects showed that the scanner had an equivalent accuracy, a better repeatability, and was faster than the reference electromagnetic digitizer. According to electrical source imaging, somatosensory evoked potentials experiments validated its ability to give precise sensor localization. With our automatic labeling method, the data provided by the scanner could be directly introduced in the source localization studies.
  • Keywords
    bioelectric potentials; biomedical MRI; electroencephalography; image registration; laser applications in medicine; mechanoception; medical image processing; optical scanners; automatic labeling; coregistration; electrical source imaging; electroencephalography; handheld 3D laser scanner; magneic resonance imaging; reference electromagnetic digitizer; scalp EEG sensor; sensor localization; somatosensory evoked potentials; Brain modeling; Electrodes; Electroencephalography; Electromagnetics; Magnetic resonance imaging; Sensors; Three dimensional displays; Adult; Algorithms; Electrodes; Electroencephalography; Female; Head; Humans; Magnetic Resonance Imaging; Male; Microscopy, Confocal; Pattern Recognition, Automated; Systems Integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
  • Conference_Location
    Buenos Aires
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4123-5
  • Type

    conf

  • DOI
    10.1109/IEMBS.2010.5627659
  • Filename
    5627659