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Uterine activity modifies the response of the fetal autonomic nervous system at preterm active labor
Frontiers in Endocrinology,
2023
DOI:10.3389/fendo.2022.1056679
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Cardiotocography analysis by empirical dynamic modeling and Gaussian processes
Frontiers in Bioengineering and Biotechnology,
2023
DOI:10.3389/fbioe.2022.1057807
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WITHDRAWN: Multimodal deep learning for predicting adverse birth outcomes based on early labour data
Intelligence-Based Medicine,
2022
DOI:10.1016/j.ibmed.2022.100084
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Predicting fetal hypoxia using common spatial pattern and machine learning from cardiotocography signals
Applied Acoustics,
2020
DOI:10.1016/j.apacoust.2020.107429
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Heart Rate Variability in the Perinatal Period: A Critical and Conceptual Review
Frontiers in Neuroscience,
2020
DOI:10.3389/fnins.2020.561186
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Efficient approach for digitization of the cardiotocography signals
Physica A: Statistical Mechanics and its Applications,
2020
DOI:10.1016/j.physa.2019.122725
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Independent Analysis of Decelerations and Resting Periods through CEEMDAN and Spectral-Based Feature Extraction Improves Cardiotocographic Assessment
Applied Sciences,
2019
DOI:10.3390/app9245421
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A Strategy for Classification of “Vaginal vs. Cesarean Section” Delivery: Bivariate Empirical Mode Decomposition of Cardiotocographic Recordings
Frontiers in Physiology,
2019
DOI:10.3389/fphys.2019.00246
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[9]
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Detection rate of fetal distress using contraction-dependent fetal heart rate variability analysis
Physiological Measurement,
2018
DOI:10.1088/1361-6579/aaa925
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Prognostic model based on image-based time-frequency features and genetic algorithm for fetal hypoxia assessment
Computers in Biology and Medicine,
2018
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Simulation of fetal heart rate variability with a mathematical model
Medical Engineering & Physics,
2017
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Using uterine activity to improve fetal heart rate variability analysis for detection of asphyxia during labor
Physiological Measurement,
2016
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Frequency and Time Domain Analysis of Foetal Heart Rate Variability with Traditional Indexes: A Critical Survey
Computational and Mathematical Methods in Medicine,
2016
DOI:10.1155/2016/9585431
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Automated evaluation of fetal cardiotocograms using neural network
2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC),
2012
DOI:10.1109/ICSMC.2012.6377735
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