Granger causal analysis of electrohysterographic and tocographic recordings for classification of term vs. preterm births
Author:
Publisher
Elsevier BV
Subject
Biomedical Engineering
Reference78 articles.
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1. Peak amplitude of the normalized power spectrum of the electromyogram of the uterus in the low frequency band is an effective predictor of premature birth;PLOS ONE;2024-09-12
2. Machine Learning Techniques for the Prediction of Preterm Birth Using Electrohysterography Signals;Advances in Medical Technologies and Clinical Practice;2024-07-12
3. Multi-channel electrohysterography enabled uterine contraction characterization and its effect in delivery assessment;Computers in Biology and Medicine;2023-12
4. An open dataset with electrohysterogram records of pregnancies ending in induced and cesarean section delivery;Scientific Data;2023-10-02
5. An automatic classification approach for preterm delivery detection based on deep learning;Biomedical Signal Processing and Control;2023-07
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