Enhancing classification of preterm-term birth using continuous wavelet transform and entropy-based methods of electrohysterogram signals

Enhancing classification of preterm-term birth using continuous wavelet transform and entropy-based methods of electrohysterogram signals

IntroductionDespite vast research, premature birth's electrophysiological mechanisms are not fully understood. Prediction of preterm birth contributes to child survival by providing timely and skilled care to both mother and child. Electrohysterography is an affordable, noninvasive technique th...

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Bibliographic Details
Main Authors: Héctor Romero-Morales, Jenny Noemí Muñoz-Montes de Oca, Rodrigo Mora-Martínez, Yecid Mina-Paz, José Javier Reyes-Lagos
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Endocrinology
Subjects:
electrohysterography
entropy
time-frequency analysis
uterine electromyogram
preterm labor
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2022.1035615/full

Internet

https://www.frontiersin.org/articles/10.3389/fendo.2022.1035615/full

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