• DocumentCode
    1706721
  • Title

    Detection of motion artifacts in fNIRS via the continuous wavelet transform

  • Author

    Dadgostar, M. ; Setarehdan, Seyed Kamaledin ; Akin, Abdulkadir

  • Author_Institution
    Dept. of Biomed. Eng., Islamic Azad Univ., Tehran, Iran
  • fYear
    2013
  • Firstpage
    243
  • Lastpage
    246
  • Abstract
    fNIRS signal are prone to body movement artifacts that present themselves in various distortions on the raw data. Precise and accurate detection of such motion artifacts is essential to improve the SNR. In this paper, we propose a method based on the continuous wavelet transform to automatically detect and localize the motion artifacts. We validated the efficacy of the method on simulated and real fNIRS signals.
  • Keywords
    biomedical optical imaging; infrared spectra; medical image processing; motion compensation; wavelet transforms; automatic motion artifact detection; automatic motion artifact localization; continuous wavelet transform; fNIRS signal; funcional near-infrared spectroscopy; Biomedical engineering; Continuous wavelet transforms; Educational institutions; Motion segmentation; Wavelet coefficients; continuous wavelet transform; functional near-infrared spectroscopy; motion artifact;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering (ICBME), 2013 20th Iranian Conference on
  • Conference_Location
    Tehran
  • Type

    conf

  • DOI
    10.1109/ICBME.2013.6782227
  • Filename
    6782227