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Comparison of Fetal Phonocardiogram Wavelet Denoising Methods

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10243213" target="_blank" >RIV/61989100:27240/18:10243213 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/8615621" target="_blank" >https://ieeexplore.ieee.org/document/8615621</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Comparison of Fetal Phonocardiogram Wavelet Denoising Methods

  • Original language description

    Fetal heart sounds have always been one of the main parameters to focus on in terms of monitoring the well-being of a fetus. In the past, intermittent auscultation was the main technique in midwifery and obstetrics, and Pinard Horn the main equipment of the clinicians. The accuracy of the method was highly dependent on the skills and experiences of the examiner [1]. This method was later replaced by the continuous Electronic Fetal Monitoring (EFM), also known as Cardiotocography (CTG), using Doppler Effect for monitoring of the fetal heart rate (fHR). By using the computer technology, the performance of the method should be higher than intermittent auscultation. However, many studies claim that this presumption is questionable [2], [3]. Moreover, the drawback of Doppler-based EFM is that it does not allow to monitor fetal heart rate variability. Therefore, some short time changes may occur unnoticed [4].

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2018 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2018 - Proceedings

  • ISBN

    978-1-5386-5916-8

  • ISSN

    2372-7241

  • e-ISSN

  • Number of pages

    3

  • Pages from-to

    "neuvedeno"

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Filadelfie

  • Event date

    Dec 1, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000462844100024