Results 101 to 110 of about 6,998 (218)

Cardiotocography versus Doppler [PDF]

Ultrasound in Obstetrics & Gynecology, 1997
R S, Black, S, Campbell
openaire   +2 more sources

Moderate Asph?xia in Intrauterine Growth Restriction of the Fetus - Cardiotocography and Ultrasound Methods of Diagnosis [PDF]

, 2017
Asphyxia remains an important cause for neonatal morbidity and mortality. The tests in themselves cardiotocography (NST), sonography, Doppler studies which are used for antenatal fetus surveillance are aimed at timely diagnosing the signs of the fetus ...
Marinov, Borislav, Pirnareva, Elena
core   +1 more source

Enhanced Optimal Feature Selection Techniques for Fetal Risk Prediction using Machine Learning Algorithms

, 2020
Cardiotocography (CTG) records fetal heart rate (FHR) and uterine contractions (UC) simultaneously. The CTG,*which is one of the*most common*diagnostic techniques used during pregnancy and before delivery to evaluate maternal and fetal well-being ...
J. Jayashree, Harsha T, J. Vijayashree, Anil Kumar C   +3 more
core   +1 more source

Prediction of intrapartum hypoxia from cardiotocography data using machine learning

, 2016
International audienceUterine contractions produced during labor have the potential to damage a fetus by diminishing the maternal blood flow to the placenta, which can result in fetus hypoxia.
Fergus, Paul, De-Shuang, Huang, Paul Fergus, Hamdan, Hani, Hani Hamdan, De-Shuang Huang   +5 more
core   +1 more source

Admission Cardiotocography in High Risk Pregnancies

, 2018
Aims: The objective of the study was to evaluate the relationship between admission cardiotocography and fetal outcome among high risk obstetrics patients.Methods: The study was a hospital based observational study of 130 patients, conducted at Paropakar
Jwala Thapa, Rajib Sah
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A Pragmatic Approach to Fetal Monitoring via Cardiotocography Using Feature Elimination and Hyperparameter Optimization

Cardiotocography (CTG) is used to assess the health of the fetus during birth or antenatally in the third trimester. It concurrently detects the maternal uterine contractions (UC) and fetal heart rate (FHR).
Ayturan, Kubilay, Acharya, U. Rajendra, Akmal, Haad, Hardalac, Firat, Tan, Ru-San   +4 more
core   +1 more source

EFFECTIVENESS OF UMBILICAL ARTERY DOPPLER EXAMINATION, CARDIOTOCOGRAPHY AND AMNIOTIC FLUID INDEX APPLIED IN EARLY INTRAPARTUM PERIOD IN DIAGNOSIS OF FETAL DISTRESS

, 2017
The present study aims to find an alternative solution to continuous monitoring with Cardiotocography (CTG) during intrapartum management process of pregnant women with no previous antenatal follow-up, and to diagnose low-risk pregnancies and avoid the ...
Bulat Aytek Şık, Sezgin Dursun, Baki Erdem, Yılda Arzu Aba   +3 more
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Evaluation of perinatal and maternal outcomes by using EFM and admission CTG in a tertiary care center [PDF]

Al Ameen Journal of Medical Sciences
Background: Electronic foetal heart rate monitoring (EFM) using cardiotocography (CTG) is crucial for assessing foetal well-being during labour and aiding in the early detection of intrapartum hypoxia.
Ambika Patil, Saleha Inamdar, Archana T
doaj  

Is the fetus fit for labor? Introducing fast‐and‐frugal trees (FFTrees) to simplify triage of women for STAN monitoring: An interobserver agreement comparison with traditional classification

Acta Obstetricia et Gynecologica Scandinavica
Introduction It is a shortcoming of traditional cardiotocography (CTG) classification table formats that CTG traces are frequently classified differently by different users, resulting in poor interobserver agreements. A fast‐and‐frugal tree (FFTree) flow
Susana Pereira, Petra Bakker, Ahmed Zaima, Tullio Ghi, Jörg Kessler, Susanna Timonen, Christoph Vayssière, Katrin Löser, Kaisa Holmberg, Yves Jacquemyn, Edwin Chandraharan, David Wertheim, Per Olofsson   +12 more
doaj   +1 more source

Comparison of Supervised Machine Algorithms by Classifying a Cardiotocography Data Set

, 2018
PURPOSE: To compare the performance and visualize the results of five different Supervised Machine Learning algorithms by classifying Cardiotocography dataset.
Paithankar, Shreya
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