Fetal Magnetocardiographic Signals Extracted by ‘Signal Subspace’ Blind Source Separation
Copyright policy )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.
- National Research Council Italy
- University of Trieste Italy
- Fatebenefratelli Hospital Italy
- Newcastle University United Kingdom
- National Research Council Sri Lanka
Automated, Cardiotocography, methods, Diagnosi, Independent component analysis, Sensitivity and Specificity, Pattern Recognition, Automated, Magnetics, Computer-Assisted, Pregnancy, Signal subspace, Humans, methods, Cardiotocography, Diagnosis, Computer-Assisted, Magnetocardiography, Algorithms, Body Surface Potential Mapping; methods, Cardiotocography; methods, Diagnosis; Computer-Assisted; methods, Female, Humans, Magnetics; diagnostic use, Pattern Recognition; Automated; methods, Pregnancy, Reproducibility of Results, Sensitivity and Specificity, Body Surface Potential Mapping, Reproducibility of Results, Blind source separation; Independent component analysis; Magnetocardiography; Signal subspace, Algorithms, Body Surface Potential Mapping, methods, Female, Humans, Magnetic, methods, Pregnancy, Reproducibility of Results, Sensitivity and Specificity, Blind source separation, Female, diagnostic use, Pattern Recognition, Algorithms
Automated, Cardiotocography, methods, Diagnosi, Independent component analysis, Sensitivity and Specificity, Pattern Recognition, Automated, Magnetics, Computer-Assisted, Pregnancy, Signal subspace, Humans, methods, Cardiotocography, Diagnosis, Computer-Assisted, Magnetocardiography, Algorithms, Body Surface Potential Mapping; methods, Cardiotocography; methods, Diagnosis; Computer-Assisted; methods, Female, Humans, Magnetics; diagnostic use, Pattern Recognition; Automated; methods, Pregnancy, Reproducibility of Results, Sensitivity and Specificity, Body Surface Potential Mapping, Reproducibility of Results, Blind source separation; Independent component analysis; Magnetocardiography; Signal subspace, Algorithms, Body Surface Potential Mapping, methods, Female, Humans, Magnetic, methods, Pregnancy, Reproducibility of Results, Sensitivity and Specificity, Blind source separation, Female, diagnostic use, Pattern Recognition, Algorithms
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