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dc.contributor.authorKahánková, Radana
dc.contributor.authorJeżewski, Janusz
dc.contributor.authorNedoma, Jan
dc.contributor.authorJeżewski, Michał
dc.contributor.authorFajkus, Marcel
dc.contributor.authorKawala-Janik, Aleksandra
dc.contributor.authorWen, He
dc.contributor.authorMartinek, Radek
dc.date.accessioned2017-11-30T11:46:29Z
dc.date.available2017-11-30T11:46:29Z
dc.date.issued2017
dc.identifier.citationAdvances in electrical and electronic engineering. 2017, vol. 15, no. 3, p. 491-501cs
dc.identifier.issn1336-1376
dc.identifier.issn1804-3119
dc.identifier.urihttp://hdl.handle.net/10084/122111
dc.description.abstractThe main aims of this paper are to study the influence of the Gestation Age (GA) on the quality of recorded abdominal ECG (aECG) signals and to evaluate the performance of the LMS and RLS adaptive signal processing algorithms in the extraction of the fetal ECG (fECG) signal component from such signals. This influence is quantified as a function of the Signal-to-Noise Ratio (SNR). Our research shows that these adaptive algorithms with optimized settings can successfully be applied to extract fECG signals from the maternal aECG signals as early as the 30th week of GA, hence addressing a limitation (37 weeks or labor) in commercially available monitoring systems. We demonstrate that before this gestational age, the SNR of the maternal aECG signal is too low for these adaptive algorithms to work effectively and produce satisfactory results.cs
dc.format.extent727582 bytes
dc.format.mimetypeapplication/pdf
dc.languageNeuvedenocs
dc.language.isoencs
dc.publisherVysoká škola báňská - Technická univerzita Ostravacs
dc.relation.ispartofseriesAdvances in electrical and electronic engineeringcs
dc.relation.urihttp://dx.doi.org/10.15598/aeee.v15i3.2207
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectECG extractioncs
dc.subjectfetal ElectroCardioGram (ECG)cs
dc.subjectgestation agecs
dc.subjectLMS and RLS algorithmscs
dc.subjectnon-invasive fetal monitoringcs
dc.titleThe influence of gestation age on the performance of adaptive algorithms used for fetal ECG signal extractioncs
dc.typearticlecs
dc.identifier.doi10.15598/aeee.v15i3.2207
dc.rights.accessopenAccess
dc.type.versionpublishedVersion
dc.type.statusPeer-reviewed
dc.identifier.wos000424330700013


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