3 papers
eess.SP2020
Detection of Obstructive Sleep Apnoea Using Features Extracted from Segmented Time-Series ECG Signals Using a One Dimensional Convolutional Neural Network
Steven Thompson, Paul Fergus, Carl Chalmers +1
The study in this paper presents a one-dimensional convolutional neural network (1DCNN) model, designed for the automated detection of obstructive Sleep Apnoea (OSA) captured from…
q-bio.GN2019
SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity
Casimiro Aday Curbelo Montañez, Paul Fergus, Carl Chalmers +4
One of the most important challenges in the analysis of high-throughput genetic data is the development of efficient computational methods to identify statistically significant Sin…
cs.LG2019
Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomes
Paul Fergus, Carl Chalmers, Casimiro Curbelo Montanez +3
Gynaecologists and obstetricians visually interpret cardiotocography (CTG) traces using the International Federation of Gynaecology and Obstetrics (FIGO) guidelines to assess the w…