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New method for beat-to-beat fetal heart rate measurement using doppler ultrasound signal

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F20%3A10245417" target="_blank" >RIV/61989100:27240/20:10245417 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.mdpi.com/1424-8220/20/15/4079" target="_blank" >https://www.mdpi.com/1424-8220/20/15/4079</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/s20154079" target="_blank" >10.3390/s20154079</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    New method for beat-to-beat fetal heart rate measurement using doppler ultrasound signal

  • Original language description

    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&apos;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 MINUS SIGN 1.9% to MINUS SIGN 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. (C) 2020 by the authors Licensee MDPI, Basel, Switzerland.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Sensors. Vol. 20

  • ISSN

    1424-8220

  • e-ISSN

  • Volume of the periodical

    20

  • Issue of the periodical within the volume

    15

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    25

  • Pages from-to

    1-25

  • UT code for WoS article

    000559048900001

  • EID of the result in the Scopus database

    2-s2.0-85088306571