Non-Adaptive Methods for Fetal ECG Signal Processing: A Review and Appraisal

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10241628" target="_blank" >RIV/61989100:27240/18:10241628 - isvavai.cz</a>

Result on the web

<a href="https://www.mdpi.com/1424-8220/18/11/3648" target="_blank" >https://www.mdpi.com/1424-8220/18/11/3648</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/s18113648" target="_blank" >10.3390/s18113648</a>

Result language

angličtina

Original language name

Non-Adaptive Methods for Fetal ECG Signal Processing: A Review and Appraisal

Original language description

Fetal electrocardiography is among the most promising methods of modern electronic fetal monitoring. However, before they can be fully deployed in the clinical practice as a gold standard, the challenges associated with the signal quality must be solved. During the last two decades, a great amount of articles dealing with improving the quality of the fetal electrocardiogram signal acquired from the abdominal recordings have been introduced. This article aims to present an extensive literature survey of different non-adaptive signal processing methods applied for fetal electrocardiogram extraction and enhancement. It is limiting that a different non-adaptive method works well for each type of signal, but independent component analysis, principal component analysis and wavelet transforms are the most commonly published methods of signal processing and have good accuracy and speed of algorithms.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

20201 - Electrical and electronic engineering

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

Publication year

2018

Confidentiality

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

Name of the periodical

SENSORS

ISSN

1424-8220

e-ISSN

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Volume of the periodical

18

Issue of the periodical within the volume

11

Country of publishing house

CH - SWITZERLAND

Number of pages

34

Pages from-to

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UT code for WoS article

000451598900058

EID of the result in the Scopus database

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