AIMC Topic: Cardiotocography

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Classification of caesarean section and normal vaginal deliveries using foetal heart rate signals and advanced machine learning algorithms.

Biomedical engineering online Jul 6, 2017
BACKGROUND: Visual inspection of cardiotocography traces by obstetricians and midwives is the gold standard for monitoring the wellbeing of the foetus during antenatal care. However, inter- and intra-observer variability is high with only a 30% posit...
Nonlinear Dynamics Heart Rate, Fetal Contraceptive Devices, Female Discriminant Analysis Signal Processing, Computer-Assisted Machine Learning Cardiotocography Pregnancy Humans Young Adult Adult Female Cesarean Section
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Combining latent class analysis labeling with multiclass approach for fetal heart rate categorization.

Physiological measurement Apr 20, 2015
The most common approach to assess fetal well-being during delivery is monitoring of fetal heart rate and uterine contractions-the cardiotocogram (CTG). Nevertheless, 40 years since the introduction of CTG to clinical practice, its evaluation is stil...
Cardiotocography Signal Processing, Computer-Assisted Observer Variation Algorithms Machine Learning ROC Curve Heart Rate, Fetal
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OB HUB: Remote Electronic Fetal Monitoring Surveillance.

MCN. The American journal of maternal child nursing May 13, 2025
OBJECTIVE: The purpose of this project was to implement a remote fetal surveillance unit with increased vigilance and timelier responses to electronic fetal monitor tracings to improve neonatal outcomes and increase safety.
Humans Female Infant, Newborn Artificial Intelligence Pregnancy Fetal Monitoring Pilot Projects Cardiotocography Cesarean Section
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[Research on intelligent fetal heart monitoring model based on deep active learning].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Feb 25, 2025
Cardiotocography (CTG) is a non-invasive and important tool for diagnosing fetal distress during pregnancy. To meet the needs of intelligent fetal heart monitoring based on deep learning, this paper proposes a TWD-MOAL deep active learning algorithm ...
Deep Learning Cardiotocography Pregnancy Female Fetal Distress Fetal Heart Heart Rate, Fetal Humans Fetal Monitoring Neural Networks, Computer Algorithms
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Concordance analysis of intrapartum cardiotocography between physicians and artificial intelligence-based technique using modified one-dimensional fully convolutional networks.

Journal of the Chinese Medical Association : JCMA Feb 1, 2021
BACKGROUND: Cardiotocography is a common method of electronic fetal monitoring (EFM) for fetal well-being. Data-driven analyses have shown potential for automated EFM assessment. For this preliminary study, we used a novel artificial intelligence met...
Fetal Monitoring Medical Audit Female Adult Cardiotocography Heart Rate, Fetal Retrospective Studies Pregnancy Artificial Intelligence Humans
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Deep Learning for Continuous Electronic Fetal Monitoring in Labor.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Continuous electronic fetal monitoring (EFM) is used worldwide to visually assess whether a fetus is exhibiting signs of distress during labor, and may benefit from an emergency operative delivery (e.g. Cesarean section). Previously, computerized EFM...
Humans Cardiotocography Female Deep Learning Labor, Obstetric Neural Networks, Computer Pregnancy Fetal Distress
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