Predicting the risk of metabolic acidosis for newborns based on fetal heart rate signal classification using support vector machines

G Georgoulas, D Stylios… - IEEE Transactions on …, 2006 - ieeexplore.ieee.org
Cardiotocography is the main method used for fetal assessment in everyday clinical practice
for the last 30 years. Many attempts have been made to increase the effectiveness of the …

Predicting fetal hypoxia using common spatial pattern and machine learning from cardiotocography signals

W Alsaggaf, Z Cömert, M Nour, K Polat, H Brdesee… - Applied Acoustics, 2020 - Elsevier
Cardiotocography (CTG) is a screening tool used in daily obstetric practice to determine fetal
wellbeing. Its interpretation is generally performed visually by the field experts, and this …

Antepartum fetal heart rate feature extraction and classification using empirical mode decomposition and support vector machine

N Krupa, MA MA, E Zahedi, S Ahmed… - Biomedical engineering …, 2011 - Springer
Background Cardiotocography (CTG) is the most widely used tool for fetal surveillance. The
visual analysis of fetal heart rate (FHR) traces largely depends on the expertise and …

Open-access software for analysis of fetal heart rate signals

Z Cömert, AF Kocamaz - Biomedical Signal Processing and Control, 2018 - Elsevier
Cardiotocography (CTG) comprises fetal heart rate (FHR) and uterine contraction (UC)
signals that are simultaneously recorded. In clinical practice, a visual examination is …

Cardiotocograph-based labor stage classification from uterine contraction pressure during ante-partum and intra-partum period: a fuzzy theoretic approach

S Das, SM Obaidullah, KC Santosh, K Roy… - … Information Science and …, 2020 - Springer
Computerized techniques for Cardiotocograph (CTG) based labor stage classification would
support obstetrician for advance CTG analysis and would improve their predictive power for …

Intelligent analysis and pattern recognition in cardiotocographic signals using a tightly coupled hybrid system

B Guijarro-Berdiñas, A Alonso-Betanzos… - Artificial Intelligence, 2002 - Elsevier
In obstetrics, cardiotocograph (CTG) and non-stress test readings are indispensable to
antenatal monitoring and assessment. Difficulties in the interpretation of CTG records …

Novel approach for fetal heart rate classification introducing grammatical evolution

G Georgoulas, D Gavrilis, IG Tsoulos, C Stylios… - … Signal Processing and …, 2007 - Elsevier
Fetal heart rate (FHR) variations reflect the level of oxygenation and blood pressure of the
fetus. Electronic Fetal Monitoring (EFM), the continuous monitoring of the FHR, was …

A novel software for comprehensive analysis of cardiotocography signals “CTG-OAS”

Z Cömert, AF Kocamaz - 2017 International Artificial …, 2017 - ieeexplore.ieee.org
The research interest in fetal heart rate (FHR) monitoring dates back to the 1960s, and the
breakthrough on fetal surveillance has been seen during the 1990s with computerized …

Classification of cardiotocography signals using machine learning

SA Sontakke, J Lohokare, R Dani… - Intelligent Systems and …, 2019 - Springer
Cardiotocography has been used to record and monitor fetal heartbeat and uterine
contractions, both antepartum and intrapartum for several decades now, albeit not without …

Validation of intelligent systems: a critical study and a tool

E Mosqueira-Rey, V Moret-Bonillo - Expert Systems with Applications, 2000 - Elsevier
One of the most important phases in the methodology for the development of intelligent
systems is that corresponding to the evaluation of the performance of the implemented …