AIMC Topic: Pregnancy
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Classification of caesarean section and normal vaginal deliveries using foetal heart rate signals and advanced machine learning algorithms.
Biomedical engineering online
Jul 6, 2017
BACKGROUND: Visual inspection of cardiotocography traces by obstetricians and midwives is the gold standard for monitoring the wellbeing of the foetus during antenatal care. However, inter- and intra-observer variability is high with only a 30% posit...
The Identification and Tracking of Uterine Contractions Using Template Based Cross-Correlation.
Annals of biomedical engineering
Jun 28, 2017
The purpose of this paper is to outline a novel method of using template based cross-correlation to identify and track uterine contractions during labour. A purpose built six-channel Electromyography (EMG) device was used to collect data from consent...
A Deep Convolutional Neural Network-Based Framework for Automatic Fetal Facial Standard Plane Recognition.
IEEE journal of biomedical and health informatics
May 17, 2017
Ultrasound imaging has become a prevalent examination method in prenatal diagnosis. Accurate acquisition of fetal facial standard plane (FFSP) is the most important precondition for subsequent diagnosis and measurement. In the past few years, conside...
Machine Learning for Social Services: A Study of Prenatal Case Management in Illinois.
American journal of public health
Apr 20, 2017
OBJECTIVES: To evaluate the positive predictive value of machine learning algorithms for early assessment of adverse birth risk among pregnant women as a means of improving the allocation of social services.
Ultrasound Standard Plane Detection Using a Composite Neural Network Framework.
IEEE transactions on cybernetics
Mar 30, 2017
Ultrasound (US) imaging is a widely used screening tool for obstetric examination and diagnosis. Accurate acquisition of fetal standard planes with key anatomical structures is very crucial for substantial biometric measurement and diagnosis. However...
Feature Extraction and Classification of EHG between Pregnancy and Labour Group Using Hilbert-Huang Transform and Extreme Learning Machine.
Computational and mathematical methods in medicine
Feb 19, 2017
Preterm birth (PTB) is the leading cause of perinatal mortality and long-term morbidity, which results in significant health and economic problems. The early detection of PTB has great significance for its prevention. The electrohysterogram (EHG) rel...
Developing a knowledge base to support the annotation of ultrasound images of ectopic pregnancy.
Journal of biomedical semantics
Jan 31, 2017
BACKGROUND: Ectopic pregnancy is a frequent early complication of pregnancy associated with significant rates of morbidly and mortality. The positive diagnosis of this condition is established through transvaginal ultrasound scanning. The timing of d...
An Integrated Soft Computing Approach to Hughes Syndrome Risk Assessment.
Journal of medical systems
Jan 23, 2017
The AntiPhospholipid Syndrome (APS) is an acquired autoimmune disorder induced by high levels of antiphospholipid antibodies that cause arterial and veins thrombosis, as well as pregnancy-related complications and morbidity, as clinical manifestation...
Maternal urinary paraben levels and offspring size at birth from a Chinese birth cohort.
Chemosphere
Dec 27, 2016
BACKGROUND: Parabens are suspected to impair fetal growth because of their endocrine disrupting effects. Epidemiological studies regarding the effects of prenatal exposure to parabens on birth outcomes are limited.
Levels of Urinary Metabolites of Organophosphate Flame Retardants, TDCIPP, and TPHP, in Pregnant Women in Shanghai.
Journal of environmental and public health
Dec 25, 2016
Flame retardants are widely used in consumer products to reduce their flammability. Previously used flame retardants have been sequentially banned due to their environmental and human toxicity. Currently, tris(1,3-dichloropropyl) phosphate (TDCIPP) a...
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