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dc.contributor.authorKupka, Tomasz
dc.contributor.authorMatonia, Adam
dc.contributor.authorJezewski, Michal
dc.contributor.authorJezewski, Janusz
dc.contributor.authorHoroba, Krzysztof
dc.contributor.authorWróbel, Janusz
dc.contributor.authorCzabański, Robert
dc.contributor.authorMartinek, Radek
dc.date.accessioned2020-10-13T08:29:21Z
dc.date.available2020-10-13T08:29:21Z
dc.date.issued2020
dc.identifier.citationSensors. 2020, vol. 20, issue 15, art. no. 4079.cs
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10084/142304
dc.description.abstractThe most commonly used method of fetal monitoring is based on heart activity analysis. Computer-aided fetal monitoring system enables extraction of clinically important information hidden for visual interpretation-the instantaneous fetal heart rate (FHR) variability. Today's fetal monitors are based on monitoring of mechanical activity of the fetal heart by means of Doppler ultrasound technique. The FHR is determined using autocorrelation methods, and thus it has a form of evenly spaced-every 250 ms-instantaneous measurements, where some of which are incorrect or duplicate. The parameters describing a beat-to-beat FHR variability calculated from such a signal show significant errors. The aim of our research was to develop new analysis methods that will both improve an accuracy of the FHR determination and provide FHR representation as time series of events. The study was carried out on simultaneously recorded (during labor) Doppler ultrasound signal and the reference direct fetal electrocardiogram Two subranges of Doppler bandwidths were separated to describe heart wall movements and valve motions. After reduction of signal complexity by determining the Doppler ultrasound envelope, the signal was analyzed to determine the FHR. The autocorrelation method supported by a trapezoidal prediction function was used. In the final stage, two different methods were developed to provide signal representation as time series of events: the first using correction of duplicate measurements and the second based on segmentation of instantaneous periodicity measurements. Thus, it ensured the mean heart interval measurement error of only 1.35 ms. In a case of beat-to-beat variability assessment the errors ranged from -1.9% to -10.1%. Comparing the obtained values to other published results clearly confirms that the new methods provides a higher accuracy of an interval measurement and a better reliability of the FHR variability estimation.cs
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofseriesSensorscs
dc.relation.urihttp://doi.org/10.3390/s20154079cs
dc.rights© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectfetal monitoringcs
dc.subjectDoppler ultrasound signalcs
dc.subjectfetal heart ratecs
dc.subjectbeat-to-beat variabilitycs
dc.titleNew method for beat-to-beat fetal heart rate measurement using Doppler ultrasound signalcs
dc.typearticlecs
dc.identifier.doi10.3390/s20154079
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume20cs
dc.description.issue15cs
dc.description.firstpageart. no. 4079cs
dc.identifier.wos000559048900001


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© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Except where otherwise noted, this item's license is described as © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.