IEEE Transactions on Biomedical Engineering · 1987 · 75 citations · 11 references
EngineeringBioengineeringBiomedical EngineeringBiomedical Signal ProcessingElectrophysiologyMaternal-fetal MedicineCardiac Signal ProcessingElectrocardiogram AnalysisElectrocardiographyFetal MonitoringFetal Signal ProcessingSignal Detection TheoryArtifact Removal In Fetal SignalsEcg Signal PreprocessingFetal Electrocardiogram AnalysisFetal ElectrocardiographyFetal Physiological MonitoringSingular Value AnalysisSingular Value DecompositionSuppression
Two signal processing techniques for the suppression of the maternal ECG and simultaneously optimal detection of fetal ECG with respect to noise are presented. Both techniques are based on the singular value decomposition of a measurement matrix. Criteria are given in order to evaluate, a priori, electrode locations and sampling schemes for both methods. A fundamental difference with other methods is that the number of linearly independent FECG signals is not constrained to one. One of the presented techniques is a typical offline method. It is well suited for a large number of electrodes and large number of samples, which results in a better signal to noise ratio. The second technique is a typical on-line method. It gives fetal ECG signals within about 1 s, and is adaptive to changes of the transfer (e.g., due to fetal movement). It can be applied with a small number of electrodes (e.g., eight). It is shown that if three of these signals are from thoracic electrodes, the MECG suppression is guaranteed.
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Adaptive noise cancelling: Principles and applications
Bernard Widrow, John R. Glover, J. McCool et al. · Proceedings of the IEEE · 1975 · 3.9K citations
W. R. Bennett · Bell System Technical Journal · 1948 · 970 citations