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
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;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2006.876619
