Fetal magnetocardiographic signals extracted by 'signal subspace' blind source separation.
In this paper, we apply independent component analysis to fetal magnetocardiographic data. In particular, we propose an extension of the "cumulant-based iterative inversion" algorithm to include a two-step "signal subspace" subdivision, which allows the user to control the number of components to be estimated by analyzing the eigenvalues distribution in an interactive way. Our results show that this method is a powerful means not only for the extraction of the cardiac signals from the background noise but also for a sharp separation of the baby's heart from the mother's.
Salustri
Carlo
C
MEG Unit (ISTC-CNR), San Giovanni Calibita-Fatebenefratelli Hospital, Isola Tiberina, 00186 Rome, Italy. carlo.salustri@istc.cnr.it
Barbati
Giulia
G
Porcaro
Camillo
C
D000465:Algorithms; D018780:Body Surface Potential Mapping / Q000379:methods*; D015148:Cardiotocography / Q000379:methods*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D005260:Female; D006801:Humans; D008280:Magnetics; D010363:Pattern Recognition, Automated / Q000379:methods*; D011247:Pregnancy; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity