Please use this identifier to cite or link to this item: https://olympias.lib.uoi.gr/jspui/handle/123456789/14003
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dc.contributor.authorKarvounis, E. C.en
dc.contributor.authorTsipouras, M. G.en
dc.contributor.authorPapaloukas, C.en
dc.contributor.authorTsalikakis, D. G.en
dc.contributor.authorNaka, K. K.en
dc.contributor.authorFotiadis, D. I.en
dc.date.accessioned2015-11-24T17:34:38Z-
dc.date.available2015-11-24T17:34:38Z-
dc.identifier.issn0026-1270-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/14003-
dc.rightsDefault Licence-
dc.subjectfetal ecgen
dc.subjectheart rateen
dc.subjectblind source separationen
dc.subjectfetal monitoringen
dc.subjectst analysisen
dc.subjectcomposite abdominal signalen
dc.subjectdoppler-velocimeter dataen
dc.subjectelectrocardiogram extractionen
dc.subjectcomponent analysisen
dc.subjectsource separationen
dc.subjectecgen
dc.subjectultrasounden
dc.subjectnetworksen
dc.subjectsystemen
dc.subjectnoiseen
dc.titleA Non-invasive Methodology for Fetal Monitoring during Pregnancyen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.identifier.primaryDoi 10.3414/Me09-01-0041-
heal.identifier.secondary<Go to ISI>://000278818400005-
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Επιστήμης Υλικώνel
heal.publicationDate2010-
heal.abstractObjectives: This paper describes a methodology for the monitoring of the fetal cardiac health status during pregnancy, through the effective and non-invasive monitoring of the abdominal ECG signals (abdECG) of the mother. Methods: For this purpose, a three-stage methodology has been developed. In the first stage, the fetal heart rate (fHR) is extracted from the abdECG signals, using nonlinear analysis. Also, the eliminated ECG (eECG) is calculated, which is the abdECG after the maternal QRSs elimination. In the second stage, a blind source separation technique is applied to the eECG signals and the fetal ECG (fECG) is obtained. Finally, monitoring of the fetus is implemented using features extracted from the fHR and fECG, such as the T/QRS ratio and the characterization of the fetal ST waveforms. Results: The methodology is evaluated using a dataset of simulated multichannel abdECG signals: 94.79% accuracy for fHR extraction, 92.49% accuracy in T/QRS ratio calculation and 79.87% in ST waveform classification. Conclusions: The novel non-invasive proposed methodology is advantageous since it offers automated identification of fHR and fECG and automated ST waveform analysis, exhibiting a high diagnostic accuracy.en
heal.publisherSchattauer GMBH-Verlagen
heal.journalNameMethods Inf Meden
heal.journalTypepeer reviewed-
heal.fullTextAvailabilityTRUE-
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά)

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