Paediatrics and Child Health - Conference Items
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Item Non-invasive lung oxygen monitoring in term infants: a pilot trial(Optica Publishing Group, 2022-04) Panaviene, Jurate; Grygoryev, Konstantin; Pacheco, Andrea; Dempsey, Eugene M.; Andersson-Engels, Stefan; Science Foundation IrelandEmploying non-invasive GASMAS based system, lung oxygen measurements were performed on 25 healthy term infants on various chest positions. Oxygen and water vapor absorption signal was detected on most occasions.Item Investigating the impact of CNN depth on neonatal seizure detection performance(Institute of Electrical and Electronics Engineers (IEEE), 2018-10-29) O'Shea, Alison; Lightbody, Gordon; Boylan, Geraldine B.; Temko, Andriy; Wellcome Trust; Science Foundation IrelandThis study presents a novel, deep, fully convolutional architecture which is optimized for the task of EEG-based neonatal seizure detection. Architectures of different depths were designed and tested; varying network depth impacts convolutional receptive fields and the corresponding learned feature complexity. Two deep convolutional networks are compared with a shallow SVMbased neonatal seizure detector, which relies on the extraction of hand-crafted features. On a large clinical dataset, of over 800 hours of multichannel unedited EEG, containing 1389 seizure events, the deep 11-layer architecture significantly outperforms the shallower architectures, improving the AUC90 from 82.6% to 86.8%. Combining the end-to-end deep architecture with the feature-based shallow SVM further improves the AUC90 to 87.6%. The fusion of classifiers of different depths gives greatly improved performance and reduced variability, making the combined classifier more clinically reliable.