Results 41 to 50 of about 6,750 (213)
Risk factors for caesarean section in primigravidae [PDF]
Objectives: To determine the antepartum and intrapartum risk factors leading to caesarean section in Primigravidae. Methods: A prospective study of 100 patients conducted in the department of Obstetrics and Gynaecology from January 2018 to June 2018 ...
Preeti Malapure +3 more
doaj +1 more source
An attempt to improve recognition of fetal acidemia by a remodeled intrapartum cardiotocography classification: A case-control study. [PDF]
Current CTG interpretation templates have shown low sensitivity or low specificity identifying fetuses with acidemia. This new interpretation template combined a high sensitivity with a high specificity. Validation on a new material is essential before considering clinical use.
Fogelberg M +6 more
europepmc +2 more sources
Fetal heart rate patterns associated with acidemia at fetal blood sampling during labor-An observational study. [PDF]
The Swedish fetal heart rate (FHR) classification from 2017 identifies most FHR patterns associated with fetal acidemia as non‐normal, according to fetal blood sampling (FBS) in immediate connection to the ongoing FHR pattern. However, long‐standing FHR patterns with non‐repetitive decelerations of the types severe variable and late warrant increased ...
Gyllencreutz E +4 more
europepmc +2 more sources
Background Maternal heart rate artefact is a signal processing error whereby the fetal heart rate is masked by the maternal pulse, potentially leading to danger by failure to recognize an abnormal fetal heart rate or a pre-existing fetal death.
Daniel J. Kiely +2 more
doaj +1 more source
Non-inferiority analysis of a fetal heart rate artificial intelligence algorithm to registered nurse assessment. [PDF]
Abstract Introduction Cardiotocography (CTG) is widely used for monitoring fetal heart rate (FHR) and uterine activity (UA) during pregnancy and labor. Clinician interpretation of CTG tracings may be subjective, leading to significant inter‐ and intra‐observer variability and inconsistent clinical decision‐making.
Pardasani R +5 more
europepmc +2 more sources
Machine Learning for Cardiotocography Data to Classify Fetal Outcomes
This is a protocol for a scoping review on cardiotocography data to classify fetal outcome during labour using machine ...
Honghan Wu +4 more
core +1 more source
Background Cardiotocography is almost ubiquitous in its use in intrapartum care. Although it has been demonstrated that there is some benefit from continuous intrapartum fetal monitoring using cardiotocography, there is also an increased risk of ...
D. Turnbull +11 more
doaj +1 more source
Classification of Cardiotocography Data with WEKA [PDF]
Cardiotocography (CTG) records fetal heart rate (FHR) and uterine contractions (UC) simultaneously. Cardiotocography trace patterns help doctors to understand the state of the fetus. Even after the introduction of cardiotocograph, the capacity to predict
Bhatnagar, Divya, Maheshwari, Piyush
core +1 more source
Artificial Intelligence Integrated Fetal Cardiotocography Education Module
Introduction: Cardiotocography is an indispensable instrument for assessing fetal well-being at the antenatal period. The interpretation of cardiotocography requires substantial background information, knowledge and experience.
Erdoğan, Pınar +4 more
core
Application of Probability Theory and S/K Proportions to Diagnose Cardiotocography in 20 Minutes [PDF]
En este trabajo se ha querido comprobar la aplicabilidad clínica de un modelo físico-matemático metodología desarrollada en el contexto de la teoría de la probabilidad y la entropía S/k proporciones a evaluar la cardiotocografía anteparto en 20 minutos ...
Páez Páez, Jaime Alberto +1 more
core +1 more source

