• DocumentCode
    1036951
  • Title

    Optimal reduction of MCG in fetal MEG recordings

  • Author

    McCubbin, J. ; Robinson, S.E. ; Cropp, R. ; Moiseev, A. ; Vrba, J. ; Murphy, P. ; Preissl, H. ; Eswaran, H.

  • Author_Institution
    Dept. of Obstetrics & Gynecology, Arkansas Univ., Little Rock, AR
  • Volume
    53
  • Issue
    8
  • fYear
    2006
  • Firstpage
    1720
  • Lastpage
    1724
  • Abstract
    Recording fetal magnetoencephalographic (fMEG) signals in-utero is a demanding task due to biological interference, especially maternal and fetal magnetocardiographic (MCG) signals. A method based on orthogonal projection of MCG signal space vectors (OP) was evaluated and compared with independent component analysis (ICA). The evaluation was based on MCG amplitude reduction and signal-to-noise ratio of fetal brain signals using exemplary datasets recorded during ongoing studies related to auditory evoked fields. The results indicate that the OP method is the preferable approach for attenuation of MCG and for preserving the fetal brain signals in fMEG recordings
  • Keywords
    auditory evoked potentials; independent component analysis; magnetocardiography; magnetoencephalography; medical signal processing; MCG amplitude reduction; MCG signal space vectors; auditory evoked fields; biological interference; fetal brain signals; fetal magnetocardiographic signal; fetal magnetoencephalographic signals; independent component analysis; maternal magnetocardiographic signal; orthogonal projection; signal-to-noise ratio; Attenuation; Bandwidth; Biomedical signal processing; Fetal heart; Gynaecology; Independent component analysis; Interference suppression; Magnetoencephalography; Signal processing; Signal to noise ratio; Biomagnetics; interference suppression; magnetoencephalography; signal processing; Algorithms; Computer Simulation; Diagnosis, Computer-Assisted; Female; Fetal Monitoring; Humans; Magnetoencephalography; Models, Neurological; Models, Statistical; Pregnancy; Principal Component Analysis; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2006.876619
  • Filename
    1658171