Template subtraction based methods for non-invasive fetal electrocardiography extraction

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F24%3A10254258" target="_blank" >RIV/61989100:27240/24:10254258 - isvavai.cz</a>

Result on the web

<a href="https://www.nature.com/articles/s41598-024-51213-5" target="_blank" >https://www.nature.com/articles/s41598-024-51213-5</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1038/s41598-024-51213-5" target="_blank" >10.1038/s41598-024-51213-5</a>

Result language

angličtina

Original language name

Template subtraction based methods for non-invasive fetal electrocardiography extraction

Original language description

Assessment of fetal heart rate (fHR) through non-invasive fetal electrocardiogram (fECG) is challenging task. This study compares the performance of five template subtraction (TS) methods on Labor (12 5-min recordings) and Pregnancy datasets (10 20-min recordings). The methods include TS without adaptation, TS using singular value decomposition (TSSVD), TS using linear prediction (TSLP), TS using scaling factor (TSSF), and sequential analysis (SA). The influence of the chosen maternal wavelet for the continuous wavelet transform (CWT) detector is also compared. The F1 score was used to measure performance. Each recording in both datasets consisted of four signals, resulting in a total comparison of 88 signals for the TS-based methods. The study reported the following results: F1 = 95.71% with TS, F1 = 95.93% with TSSVD, F1 = 95.30% with TS LP, F1 = 95.82% with TS SF, and F1 = 95.99% with SA. The study identified gaus3 as the suitable maternal wavelet for fetal R-peak detection using the CWT detector. Furthermore, the study classified signals from the tested datasets into categories of high, medium, and low quality, providing valuable insights for subsequent fECG signal extraction. This research contributes to advancing the understanding of non-invasive fECG signal processing and lays the groundwork for improving fetal monitoring in clinical settings.

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

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2024

Confidentiality

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

Name of the periodical

Scientific Reports

ISSN

2045-2322

e-ISSN

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Volume of the periodical

14

Issue of the periodical within the volume

1

Country of publishing house

US - UNITED STATES

Number of pages

15

Pages from-to

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UT code for WoS article

001137154200074

EID of the result in the Scopus database

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