A review of significant researches on prediction of preterm birth using uterine electromyogram signal
Author:
Publisher
Elsevier BV
Subject
Computer Networks and Communications,Hardware and Architecture,Software
Reference55 articles.
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2. Electrical activity of the human uterus during pregnancy as recorded from the abdominal surface;Buhimschi;Obstet. Gynecol.,1997
3. Accuracy of frequency-related parameters of the electrohysterogram for predicting preterm delivery: a review of the literature;Vinken;Obstet. Gynecol. Surv.,2009
4. Mohammad Masoud Javidi, Emami Nasibeh, A hybrid search method of wrapper feature selection by chaos particle swarm optimization and local search.
5. Use of uterine electromyography to diagnose term and preterm labor;Lucovnik;Acta Obstet. Gynecol. Scand.,2011
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1. An automatic classification approach for preterm delivery detection based on deep learning;Biomedical Signal Processing and Control;2023-07
2. End-to-end learning with interpretation on electrohysterography data to predict preterm birth;Computers in Biology and Medicine;2023-05
3. A Novel, Cardiac-Derived Algorithm for Uterine Activity Monitoring in a Wearable Remote Device;Frontiers in Bioengineering and Biotechnology;2022-07-19
4. Electrohysterography extracted features dependency on anthropometric and pregnancy factors;Biomedical Signal Processing and Control;2022-05
5. Preterm Labor Monitoring using IoT based Wearable Tocometer System;2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE);2022-04-23
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