AIMC Topic: Fetal Hypoxia

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DeepFHR: intelligent prediction of fetal Acidemia using fetal heart rate signals based on convolutional neural network.

BMC medical informatics and decision making Dec 30, 2019
BACKGROUND: Fetal heart rate (FHR) monitoring is a screening tool used by obstetricians to evaluate the fetal state. Because of the complexity and non-linearity, a visual interpretation of FHR signals using common guidelines usually results in signif...
Deep Learning Cardiotocography Diagnosis, Computer-Assisted Acidosis Fetal Hypoxia Fetal Diseases Heart Rate, Fetal Pregnancy Sensitivity and Specificity Female Neural Networks, Computer Databases, Factual Humans
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Prognostic model based on image-based time-frequency features and genetic algorithm for fetal hypoxia assessment.

Computers in biology and medicine Jun 6, 2018
Cardiotocography (CTG) is applied routinely for fetal monitoring during the perinatal period to decrease the rates of neonatal mortality and morbidity as well as unnecessary interventions. The analysis of CTG traces has become an indispensable part o...
Image Processing, Computer-Assisted Support Vector Machine Adult Heart Rate, Fetal Fetal Hypoxia Cardiotocography Prognosis Female Pregnancy Humans
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Robust Wavelet Stabilized 'Footprints of Uncertainty' for Fuzzy System Classifiers to Automatically Detect Sharp Waves in the EEG after Hypoxia Ischemia.

International journal of neural systems Aug 18, 2016
Currently, there are no developed methods to detect sharp wave transients that exist in the latent phase after hypoxia-ischemia (HI) in the electroencephalogram (EEG) in order to determine if these micro-scale transients are potential biomarkers of H...
Fetal Hypoxia Uncertainty Sensitivity and Specificity Cohort Studies Wavelet Analysis Animals Disease Models, Animal Pregnancy Brain Ischemia Electroencephalography Fuzzy Logic Female Sheep, Domestic Machine Learning Prenatal Diagnosis
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Using trend templates in a neonatal seizure algorithm improves detection of short seizures in a foetal ovine model.

Physiological measurement Feb 5, 2015
Seizures below one minute in duration are difficult to assess correctly using seizure detection algorithms. We aimed to improve neonatal detection algorithm performance for short seizures through the use of trend templates for seizure onset and end. ...
Signal Processing, Computer-Assisted Sheep, Domestic Seizures Support Vector Machine Information Theory Asphyxia Fetal Hypoxia Animals Brain Time Factors Disease Models, Animal Electroencephalography
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