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Adaptive linear neuron for fetal electrocardiogram extraction

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10241624" target="_blank" >RIV/61989100:27240/18:10241624 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8531135" target="_blank" >https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8531135</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/HealthCom.2018.8531135" target="_blank" >10.1109/HealthCom.2018.8531135</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Adaptive linear neuron for fetal electrocardiogram extraction

  • Original language description

    This paper deals with the extraction of the fetal ECG signal (fECG) using Adaptive Linear Neuron (ADALINE). The fetal ECG signal contains very important information about the health of the fetus not only during labor but also during pregnancy. We introduce the design, implementation and optimization of the adaptive system for fECG signal extraction from the abdominal ECG signal (aECG) using the ADALINE method. The verification of the proposed adaptive system was carried out on both synthetic and real data from clinical practice. (C) 2018 IEEE.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • 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

    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 20th International Conference on e-Health Networking, Applications and Services, Healthcom 2018

  • ISBN

    978-1-5386-4294-8

  • ISSN

  • e-ISSN

    neuvedeno

  • Number of pages

    5

  • Pages from-to

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Ostrava

  • Event date

    Sep 17, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article