Results 101 to 110 of about 5,974 (220)
Machine learning Ensemble Modelling to classify caesarean section and vaginal delivery types using cardiotocography traces [PDF]
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 intra ...
Fergus, P, Selvaraj, M, Chalmers, C
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Objective: To compare the effect of admission cardiotocography and Doppler auscultation of the fetal heart on neonatal outcome and levels of obstetric intervention in a low risk obstetric population. Design: Randomised controlled trial.
Mires, Gary +2 more
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Role of admission cardiotocography in predicting pregnancy outcome in postdated pregnancies [PDF]
Background: Admission cardiotocography (CTG) comprises recording of foetal heart rate and uterine contractions for 20 minutes done at the time of admission to labour room.
Apurba Kumar Bhattacharya +3 more
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Introduction A recent study recommended 5.2 mmol/L as a cutoff for fetal blood sample (FBS) lactate in labor for the StatStrip Lactate®/Lactate Xpress® lactate meter.
Magnus B. Berge +3 more
doaj +1 more source
Cardiotocography in fetal heart arrhythmia – analysis of cases
Summary Cardiotocography (CTG) is routinely used in obstetric units to monitor fetal well-being during pregnancy and labor. Nevertheless the use of CTG is limited in cases of fetal arrhythmia, because it truncates the FHR if faster than 210 bpm and ...
Szymkiewicz-Dangel, Joanna +4 more
core
Fetal Heart Rate Preprocessing Techniques: A Scoping Review
Monitoring fetal heart rate (FHR) through cardiotocography is crucial for the early diagnosis of fetal distress situations, necessitating prompt obstetrical intervention. However, FHR signals are often marred by various contaminants, making preprocessing
Inês Campos +3 more
doaj +1 more source
Comparison of Supervised Machine Algorithms by Classifying a Cardiotocography Data Set
PURPOSE: To compare the performance and visualize the results of five different Supervised Machine Learning algorithms by classifying Cardiotocography dataset.
Paithankar, Shreya
core
Fetal Hypoxia Detection Using Machine Learning: A Narrative Review
Fetal hypoxia is a condition characterized by a lack of oxygen supply in a developing fetus in the womb. It can cause potential risks, leading to abnormalities, birth defects, and even mortality.
Nawaf Alharbi +8 more
doaj +1 more source
When intra-partum electronic fetal monitoring becomes court business [PDF]
Sadly but inevitably, the clinical fruit of all scientific research, like the profile of the Roman god Janus, presents us with two faces - one is patient benefit while the other is medico-legal vulnerability.
Buttigieg, George Gregory
core
Introduction A revised cardiotocography (CTG) classification was implemented in Sweden in 2017. Simultaneously, an updated version of the lactate meter, Lactate Pro 2™, proved to measure 50% higher than the previous, necessitating new cutoffs for fetal ...
Klara Gröndal +4 more
doaj +1 more source

