Automated uterine contractions pattern detection framework to monitor pregnant women with a high risk of premature labour-Reference-Cited by-同舟云学术

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Automated uterine contractions pattern detection framework to monitor pregnant women with a high risk of premature labour

Published:2020 Issue: Volume:20 Page:100404
ISSN:2352-9148
Container-title:Informatics in Medicine Unlocked
language:en
Short-container-title:Informatics in Medicine Unlocked

Author:

Allahem Hisham,Sampalli Srinivas

Funder

Jouf University in Saudi Arabia

Saudi Cultural Bureau in Canada

Publisher

Elsevier BV

Subject

Health Informatics

Reference90 articles.

1. Electrohysterographic conduction velocity estimation;Mischi,2009

2. Characterization of EHG contractions at term labor by nonlinear analysis;Garcia-Gonzalez,2013

3. Application of wavelet coherence to the detection of uterine electrical activity synchronization in labor;Hassan;IBRM,2010

4. Detection of preterm labor by partitioning and clustering the EHG signal;Shahrdad;Biomed Signal Process Contr,2018

5. Classification of pregnancy and labor contractions using a graph theory based analysis;Nader,2015

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