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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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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
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e-ISSN
neuvedeno
Number of pages
5
Pages from-to
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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
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