DocumentCode :
1010771
Title :
Fetal MEG redistribution by projection operators
Author :
Vrba, Jiri ; Robinson, Stephen E. ; McCubbin, Jack ; Lowery, Curtis L. ; Eswaran, Hari ; Wilson, James D. ; Murphy, Pamela ; Preissl, Hubert
Author_Institution :
VSM MedTech Ltd., Coquitlam, BC, Canada
Volume :
51
Issue :
7
fYear :
2004
fDate :
7/1/2004 12:00:00 AM
Firstpage :
1207
Lastpage :
1218
Abstract :
The fetal magnetoencephalogram (fMEG) is measured in the presence of large interference from the maternal and fetal magnetocardiograms. This interference can be efficiently attenuated by orthogonal projection of the corresponding spatial vectors. However, the projection operators redistribute the fMEG signal among sensors. Although redistribution can be readily accounted for in the forward solution, visual interpretation of the fMEG signal topography is made difficult. We have devised a general, model-independent method for correction of the redistribution effect that utilizes the assumption that we know in which channels the fMEG should be negligible (such channels are distant from the known fetal head position). In a simplified case where the fMEG can be explained by equivalent current dipoles, the correction can also be obtained from fitting the dipoles to the fMEG signal. The corrected fMEG signal topography then corresponds to the dipole forward solution, but without orthogonal projection. We illustrate the redistribution correction on an example of experimentally measured flash evoked fMEG.
Keywords :
magnetoencephalography; medical signal processing; obstetrics; fMEG signal topography; fetal MEG redistribution; maternal magnetocardiogram; projection operators; spatial vectors; Electromagnetic measurements; Filtering; Interference; Magnetic heads; Magnetoencephalography; Matched filters; Noise cancellation; Sensor arrays; Superconducting magnets; Surfaces; Algorithms; Artifacts; Brain; Brain Mapping; Computer Simulation; Diagnosis, Computer-Assisted; Evoked Potentials, Visual; Fetal Monitoring; Humans; Magnetoencephalography; Models, Neurological; Models, Statistical;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2004.827265
Filename :
1306573
Link To Document :
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