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A Review of Signal Processing Techniques for Non-Invasive Fetal Electrocardiography

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F20%3A10244155" target="_blank" >RIV/61989100:27240/20:10244155 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8820039" target="_blank" >https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8820039</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/RBME.2019.2938061" target="_blank" >10.1109/RBME.2019.2938061</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Review of Signal Processing Techniques for Non-Invasive Fetal Electrocardiography

  • Original language description

    Fetal electrocardiography (fECG) is a promising alternative to cardiotocography continuous fetal monitoring. Robust extraction of the fetal signal from the abdominal mixture of maternal and fetal electrocardiograms presents the greatest challenge to effective fECG monitoring. This is mainly due to the low amplitude of the fetal versus maternal electrocardiogram and to the non-stationarity of the recorded signals. In this review, we highlight key developments in advanced signal processing algorithms for non-invasive fECG extraction and the available open access resources (databases and source code). In particular, we highlight the advantages and limitations of these algorithms as well as key parameters that must be set to ensure their optimal performance. Improving or combining the current or developing new advanced signal processing methods may enable morphological analysis of the fetal electrocardiogram, which today is only possible using the invasive scalp electrocardiography method. (C) 2008-2011 IEEE.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

    <a href="/en/project/EF16_019%2F0000867" target="_blank" >EF16_019/0000867: Research Centre of Advanced Mechatronic Systems</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>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

    IEEE Reviews in Biomedical Engineering

  • ISSN

    1937-3333

  • e-ISSN

  • Volume of the periodical

    13

  • Issue of the periodical within the volume

    12

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    23

  • Pages from-to

    51-73

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85078384882