A comprehensive review of techniques for processing and analyzing fetal heart rate signals
The availability of standardized guidelines regarding the use of electronic fetal monitoring
(EFM) in clinical practice has not effectively helped to solve the main drawbacks of fetal …
(EFM) in clinical practice has not effectively helped to solve the main drawbacks of fetal …
Frequency and time domain analysis of foetal heart rate variability with traditional indexes: a critical survey
Monitoring of foetal heart rate and its variability (FHRV) covers an important role in
assessing health of foetus. Many analysis methods have been used to get quantitative …
assessing health of foetus. Many analysis methods have been used to get quantitative …
Classification of the cardiotocogram data for anticipation of fetal risks using bagging ensemble classifier
Cardiotocography (CTG) is utilized for monitoring fetal status during antepartum and
intrapartum periods to predict the condition of the fetal wellbeing, broadly in pregnant …
intrapartum periods to predict the condition of the fetal wellbeing, broadly in pregnant …
Classification of the cardiotocogram data for anticipation of fetal risks using machine learning techniques
The aim of the research is evaluating the classification performances of eight different
machine-learning methods on the antepartum cardiotocography (CTG) data. The …
machine-learning methods on the antepartum cardiotocography (CTG) data. The …
Classifying the type of delivery from cardiotocographic signals: A machine learning approach
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 …
monitor the foetus in the prenatal phase. Since the evaluation of CTG is often visual, and …
Multiparametric investigation of dynamics in fetal heart rate signals
In the field of electronic fetal health monitoring, computerized analysis of fetal heart rate
(FHR) signals has emerged as a valid decision-support tool in the assessment of fetal …
(FHR) signals has emerged as a valid decision-support tool in the assessment of fetal …
Computer-aided diagnosis system of fetal hypoxia incorporating recurrence plot with convolutional neural network
Background: Electronic fetal monitoring (EFM) is widely applied as a routine diagnostic tool
by clinicians using fetal heart rate (FHR) signals to prevent fetal hypoxia. However, visual …
by clinicians using fetal heart rate (FHR) signals to prevent fetal hypoxia. However, visual …
Cardiotocography signal abnormality classification using time-frequency features and Ensemble Cost-sensitive SVM classifier
Background Cardiotocography (CTG) signal abnormality classification plays an important
role in the diagnosis of abnormal fetuses. This classification problem is made difficult by the …
role in the diagnosis of abnormal fetuses. This classification problem is made difficult by the …
Efficacy of machine learning in predicting the kind of delivery by cardiotocography
It is well known that the interpretation of cardiotocographic (CTG) signals is still subjective
and prone to misinterpretations; as a consequence, there has been an increase of cesarean …
and prone to misinterpretations; as a consequence, there has been an increase of cesarean …
Analyzing uncertainty in cardiotocogram data for the prediction of fetal risks based on machine learning techniques using rough set
The key focus of this venture is to evaluate the calibration of classifiers built on rules, trees,
and functions by exploring the uncertain information that exists in the Cardiotocography …
and functions by exploring the uncertain information that exists in the Cardiotocography …