Why the study?
Do higher-order blind source separation methods (HOSVD, HOEVD) improve the separation of maternal and foetal ECGs compared to PCA?
Population
Real ECG data containing maternal and foetal electrocardiograms from skin electrodes
Comparison
Higher-order blind source separation methods vs Principal-component analysis (PCA)
Design
Other
Authors
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May support tensor-based fetal ECG extraction; leaves open prospective clinical validation before practice change.
Do higher-order blind source separation methods (HOSVD, HOEVD) improve the separation of maternal and foetal ECGs compared to PCA?
Higher-order eigenvalue decomposition (HOEVD) and singular-value decomposition (HOSVD) outperform principal-component analysis in separating maternal and fetal ECG signals from skin electrodes.
Zarzoso et al. (1997) studied this question.
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