AIMC Topic: Cardiotocography

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Intelligent Neutrosophic Diagnostic System for Cardiotocography Data.

Computational intelligence and neuroscience Feb 10, 2021
Cardiotocography data uncertainty is a critical task for the classification in biomedical field. Constructing good and efficient classifier via machine learning algorithms is necessary to help doctors in diagnosing the state of fetus heart rate. The ...
Neural Networks, Computer Artificial Intelligence Machine Learning Humans Support Vector Machine Cardiotocography Decision Trees Predictive Value of Tests COVID-19 Algorithms Reproducibility of Results
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Artificial intelligence: The current state of affairs for AI in pregnancy and labour.

Journal of gynecology obstetrics and human reproduction Dec 31, 2020
Obstetric Labor Complications Postnatal Care Premature Birth Risk Assessment Cardiotocography Obstetric Labor, Premature Pregnancy, Ectopic Pre-Eclampsia Pregnancy Complications Artificial Intelligence Pregnancy Female Humans
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Classifying the type of delivery from cardiotocographic signals: A machine learning approach.

Computer methods and programs in biomedicine Aug 18, 2020
BACKGROUND AND OBJECTIVE: Cardiotocography (CTG) is the most employed methodology to monitor the foetus in the prenatal phase. Since the evaluation of CTG is often visual, and hence qualitative and too subjective, some automated methods have been int...
Software Algorithms Pregnancy Female Humans Machine Learning Cesarean Section Cardiotocography
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DeepFHR: intelligent prediction of fetal Acidemia using fetal heart rate signals based on convolutional neural network.

BMC medical informatics and decision making Dec 30, 2019
BACKGROUND: Fetal heart rate (FHR) monitoring is a screening tool used by obstetricians to evaluate the fetal state. Because of the complexity and non-linearity, a visual interpretation of FHR signals using common guidelines usually results in signif...
Heart Rate, Fetal Fetal Diseases Acidosis Diagnosis, Computer-Assisted Deep Learning Cardiotocography Fetal Hypoxia Humans Neural Networks, Computer Databases, Factual Pregnancy Female Sensitivity and Specificity
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Integrating machine learning techniques and physiology based heart rate features for antepartum fetal monitoring.

Computer methods and programs in biomedicine Oct 17, 2019
BACKGROUND AND OBJECTIVES: Intrauterine Growth Restriction (IUGR) is a fetal condition defined as the abnormal rate of fetal growth. The pathology is a documented cause of fetal and neonatal morbidity and mortality. In clinical practice, diagnosis is...
Heart Rate, Fetal Fetal Monitoring Systems Integration Female Reproducibility of Results Cardiotocography Machine Learning Pregnancy Humans
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Use of artificial intelligence (AI) in the interpretation of intrapartum fetal heart rate (FHR) tracings: a systematic review and meta-analysis.

Archives of gynecology and obstetrics May 3, 2019
OBJECTIVES: To determine the degree of inter-rater reliability (IRR) between human and artificial intelligence (AI) interpretation of fetal heart rate tracings (FHR), and to determine whether AI-assisted electronic fetal monitoring interpretation imp...
Female Infant, Newborn Cardiotocography Heart Rate, Fetal Humans Artificial Intelligence Pregnancy
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Prediction of fetal state from the cardiotocogram recordings using neural network models.

Artificial intelligence in medicine Mar 19, 2019
The combination of machine vision and soft computing approaches in the clinical decisions, using training data, can improve medical decisions and treatments. The cardiotocography (CTG) monitoring and uterine activity (UA) provides useful information ...
Humans Neural Networks, Computer Female Deep Learning Artificial Intelligence Pregnancy Fuzzy Logic Cardiotocography Uterine Contraction
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The Design and Implementation of Cardiotocography Signals Classification Algorithm Based on Neural Network.

Computational and mathematical methods in medicine Dec 3, 2018
Mobile medical care is a hot issue in current medical research. Due to the inconvenience of going to hospital for fetal heart monitoring and the limited medical resources, real-time monitoring of fetal health on portable devices has become an urgent ...
Pregnancy Calibration Female Cardiotocography Support Vector Machine Humans Signal Processing, Computer-Assisted Neural Networks, Computer Heart Rate, Fetal Algorithms
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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 Jun 6, 2018
Cardiotocography (CTG) is applied routinely for fetal monitoring during the perinatal period to decrease the rates of neonatal mortality and morbidity as well as unnecessary interventions. The analysis of CTG traces has become an indispensable part o...
Fetal Hypoxia Support Vector Machine Cardiotocography Heart Rate, Fetal Female Adult Image Processing, Computer-Assisted Humans Prognosis Pregnancy
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Machine learning ensemble modelling to classify caesarean section and vaginal delivery types using Cardiotocography traces.

Computers in biology and medicine Dec 8, 2017
Human visual inspection of Cardiotocography traces is used to monitor the foetus during labour and avoid neonatal mortality and morbidity. The problem, however, is that visual interpretation of Cardiotocography traces is subject to high inter and int...
Adult Middle Aged Adolescent Pregnancy Cardiotocography Humans Female Heart Rate, Fetal Machine Learning Cesarean Section Labor, Obstetric Decision Support Techniques
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