Evidence map›Paper›PMID 32707863›Full record

ArticleSensors (Basel, Switzerland)2020

New Method for Beat-to-Beat Fetal Heart Rate Measurement Using Doppler Ultrasound Signal.

Tomasz Kupka, Adam Matonia, Michal Jezewski, Janusz Jezewski, Krzysztof Horoba, Janusz Wrobel, Robert Czabanski, Radek Martinek

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Tomasz KupkaŁukasiewicz Research Network-Institute of Medical Technology and Equipment, PL41800 Zabrze, Poland.
Adam MatoniaŁukasiewicz Research Network-Institute of Medical Technology and Equipment, PL41800 Zabrze, Poland.
Michal JezewskiDepartment of Cybernetics, Nanotechnology and Data Processing, Silesian University of Technology, PL44100 Gliwice, Poland.
Janusz JezewskiŁukasiewicz Research Network-Institute of Medical Technology and Equipment, PL41800 Zabrze, Poland.ORCID 0000-0001-7904-8258
Krzysztof HorobaŁukasiewicz Research Network-Institute of Medical Technology and Equipment, PL41800 Zabrze, Poland.
Janusz WrobelŁukasiewicz Research Network-Institute of Medical Technology and Equipment, PL41800 Zabrze, Poland.
Robert CzabanskiDepartment of Cybernetics, Nanotechnology and Data Processing, Silesian University of Technology, PL44100 Gliwice, Poland.ORCID 0000-0003-4737-2138
Radek MartinekDepartment of Cybernetics and Biomedical Engineering, VSB-Technical University of Ostrava, 70800 Ostrava-Poruba, Czech Republic.ORCID 0000-0003-2054-143X

Funding

Narodowe Centrum Nauki 2017/27/B/ST6/01989
6 · The paper itself

Abstract

The 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.

Indexed as

Fetal MonitoringHeart Rate, FetalData AnalysisElectrocardiographyFemaleHeart RateHumansPregnancyReproducibility of ResultsUltrasonography, Dopplerbeat-to-beat variabilityDoppler ultrasound signalfetal heart ratefetal monitoring

Identifiers

PMID32707863
PMCPMC7435740

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.