Enhancement of low-quality fetal electrocardiogram based on time-sequenced adaptive filtering.
Extraction of a clean fetal electrocardiogram (ECG) from non-invasive abdominal recordings is one of the biggest challenges in fetal monitoring. An ECG allows for the interpretation of the electrical heart activity beyond the heart rate and heart rate variability. However, the low signal quality of...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 56; no. 12; pp. 2313 - 2324 |
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| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Dec2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=133056269&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 133056269 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Dec2018 vid: 56 iid: 12 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 133056269 133056269 NLM29938302 10.1007/s11517-018-1862-8 NLM29938302 133056269 ppf: 2313 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Enhancement of low-quality fetal electrocardiogram based on time-sequenced adaptive filtering. aug: au: Fotiadou, E. van Laar, J. O. E. H. Oei, S. G. Vullings, R. affil: Department of Electrical Engineering, Eindhoven University of Technology, 5612 AP, Eindhoven, Netherlands sug: subj: Electrocardiography Methods Prenatal Diagnosis Methods Signal Processing, Computer Assisted Female Algorithms Sensitivity and Specificity Pregnancy Ferrans and Powers Quality of Life Index Questionnaires Scales Female ab: Extraction of a clean fetal electrocardiogram (ECG) from non-invasive abdominal recordings is one of the biggest challenges in fetal monitoring. An ECG allows for the interpretation of the electrical heart activity beyond the heart rate and heart rate variability. However, the low signal quality of the fetal ECG hinders the morphological analysis of its waveform in clinical practice. The time-sequenced adaptive filter has been proposed for performing optimal time-varying filtering of non-stationary signals having a recurring statistical character. In our study, the time-sequenced adaptive filter is applied to enhance the quality of multichannel fetal ECG after the maternal ECG is removed. To improve the performance of the filter in cases of low signal-to-noise ratio (SNR), we enhance the ECG reference signals by averaging consecutive ECG complexes. The performance of the proposed augmented time-sequenced adaptive filter is evaluated in both synthetic and real data from PhysioNet. This evaluation shows that the suggested algorithm clearly outperforms other ECG enhancement methods, in terms of uncovering the ECG waveform, even in cases with very low SNR. With the presented method, quality of the fetal ECG morphology can be enhanced to the extent that the ECG might be fit for use in clinical diagnostics. Graphical abstract The extracted fetal ECG signals from non-invasive abdominal recordings still contain a substantial amount of noise. The time-sequenced adaptive filter provides a relatively accurate estimate of the underlying fetal ECG signal when the quality of the reference channels is enhanced prior to filtering. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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