Matches in SemOpenAlex for { <https://semopenalex.org/work/W2021014273> ?p ?o ?g. }
- W2021014273 endingPage "951" @default.
- W2021014273 startingPage "935" @default.
- W2021014273 abstract "The use of the non-invasively obtained fetal electrocardiogram (ECG) in fetal monitoring is complicated by the low signal-to-noise ratio (SNR) of ECG signals. Even after removal of the predominant interference (i.e. the maternal ECG), the SNR is generally too low for medical diagnostics, and hence additional signal processing is still required. To this end, several methods for exploiting the spatial correlation of multi-channel fetal ECG recordings from the maternal abdomen have been proposed in the literature, of which principal component analysis (PCA) and independent component analysis (ICA) are the most prominent. Both PCA and ICA, however, suffer from the drawback that they are blind source separation (BSS) techniques and as such suboptimum in that they do not consider a priori knowledge on the abdominal electrode configuration and fetal heart activity. In this paper we propose a source separation technique that is based on the physiology of the fetal heart and on the knowledge of the electrode configuration. This technique operates by calculating the spatial fetal vectorcardiogram (VCG) and approximating the VCG for several overlayed heartbeats by an ellipse. By subsequently projecting the VCG onto the long axis of this ellipse, a source signal of the fetal ECG can be obtained. To evaluate the developed technique, its performance is compared to that of both PCA and ICA and to that of augmented versions of these techniques (aPCA and aICA; PCA and ICA applied on preprocessed signals) in generating a fetal ECG source signal with enhanced SNR that can be used to detect fetal QRS complexes. The evaluation shows that the developed source separation technique performs slightly better than aPCA and aICA and outperforms PCA and ICA and has the main advantage that, with respect to aPCA/PCA and aICA/ICA, it performs more robustly. This advantage renders it favorable for employment in automated, real-time fetal monitoring applications." @default.
- W2021014273 created "2016-06-24" @default.
- W2021014273 creator A5002080975 @default.
- W2021014273 creator A5004516602 @default.
- W2021014273 creator A5033027876 @default.
- W2021014273 creator A5038549131 @default.
- W2021014273 creator A5041289849 @default.
- W2021014273 creator A5082363750 @default.
- W2021014273 date "2010-06-07" @default.
- W2021014273 modified "2023-09-26" @default.
- W2021014273 title "A robust physiology-based source separation method for QRS detection in low amplitude fetal ECG recordings" @default.
- W2021014273 cites W1974011200 @default.
- W2021014273 cites W1978811704 @default.
- W2021014273 cites W2010138238 @default.
- W2021014273 cites W2011902923 @default.
- W2021014273 cites W2029112771 @default.
- W2021014273 cites W2049508112 @default.
- W2021014273 cites W2054585288 @default.
- W2021014273 cites W2065506507 @default.
- W2021014273 cites W2081064964 @default.
- W2021014273 cites W2110814077 @default.
- W2021014273 cites W2116231263 @default.
- W2021014273 cites W2123649031 @default.
- W2021014273 cites W2136139806 @default.
- W2021014273 cites W2141224535 @default.
- W2021014273 cites W2146797601 @default.
- W2021014273 cites W2149625985 @default.
- W2021014273 cites W2167394946 @default.
- W2021014273 cites W2168630244 @default.
- W2021014273 cites W2399268814 @default.
- W2021014273 cites W4237084583 @default.
- W2021014273 doi "https://doi.org/10.1088/0967-3334/31/7/005" @default.
- W2021014273 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/20530846" @default.
- W2021014273 hasPublicationYear "2010" @default.
- W2021014273 type Work @default.
- W2021014273 sameAs 2021014273 @default.
- W2021014273 citedByCount "21" @default.
- W2021014273 countsByYear W20210142732012 @default.
- W2021014273 countsByYear W20210142732013 @default.
- W2021014273 countsByYear W20210142732014 @default.
- W2021014273 countsByYear W20210142732015 @default.
- W2021014273 countsByYear W20210142732016 @default.
- W2021014273 countsByYear W20210142732017 @default.
- W2021014273 countsByYear W20210142732018 @default.
- W2021014273 countsByYear W20210142732019 @default.
- W2021014273 countsByYear W20210142732020 @default.
- W2021014273 countsByYear W20210142732022 @default.
- W2021014273 countsByYear W20210142732023 @default.
- W2021014273 crossrefType "journal-article" @default.
- W2021014273 hasAuthorship W2021014273A5002080975 @default.
- W2021014273 hasAuthorship W2021014273A5004516602 @default.
- W2021014273 hasAuthorship W2021014273A5033027876 @default.
- W2021014273 hasAuthorship W2021014273A5038549131 @default.
- W2021014273 hasAuthorship W2021014273A5041289849 @default.
- W2021014273 hasAuthorship W2021014273A5082363750 @default.
- W2021014273 hasConcept C104267543 @default.
- W2021014273 hasConcept C111773187 @default.
- W2021014273 hasConcept C115961682 @default.
- W2021014273 hasConcept C120317606 @default.
- W2021014273 hasConcept C127162648 @default.
- W2021014273 hasConcept C153180895 @default.
- W2021014273 hasConcept C154945302 @default.
- W2021014273 hasConcept C164705383 @default.
- W2021014273 hasConcept C199360897 @default.
- W2021014273 hasConcept C2524010 @default.
- W2021014273 hasConcept C27438332 @default.
- W2021014273 hasConcept C2776864781 @default.
- W2021014273 hasConcept C2779843651 @default.
- W2021014273 hasConcept C28490314 @default.
- W2021014273 hasConcept C33923547 @default.
- W2021014273 hasConcept C41008148 @default.
- W2021014273 hasConcept C51432778 @default.
- W2021014273 hasConcept C554190296 @default.
- W2021014273 hasConcept C71924100 @default.
- W2021014273 hasConcept C74261601 @default.
- W2021014273 hasConcept C76155785 @default.
- W2021014273 hasConcept C99498987 @default.
- W2021014273 hasConceptScore W2021014273C104267543 @default.
- W2021014273 hasConceptScore W2021014273C111773187 @default.
- W2021014273 hasConceptScore W2021014273C115961682 @default.
- W2021014273 hasConceptScore W2021014273C120317606 @default.
- W2021014273 hasConceptScore W2021014273C127162648 @default.
- W2021014273 hasConceptScore W2021014273C153180895 @default.
- W2021014273 hasConceptScore W2021014273C154945302 @default.
- W2021014273 hasConceptScore W2021014273C164705383 @default.
- W2021014273 hasConceptScore W2021014273C199360897 @default.
- W2021014273 hasConceptScore W2021014273C2524010 @default.
- W2021014273 hasConceptScore W2021014273C27438332 @default.
- W2021014273 hasConceptScore W2021014273C2776864781 @default.
- W2021014273 hasConceptScore W2021014273C2779843651 @default.
- W2021014273 hasConceptScore W2021014273C28490314 @default.
- W2021014273 hasConceptScore W2021014273C33923547 @default.
- W2021014273 hasConceptScore W2021014273C41008148 @default.
- W2021014273 hasConceptScore W2021014273C51432778 @default.
- W2021014273 hasConceptScore W2021014273C554190296 @default.
- W2021014273 hasConceptScore W2021014273C71924100 @default.
- W2021014273 hasConceptScore W2021014273C74261601 @default.
- W2021014273 hasConceptScore W2021014273C76155785 @default.