Zobrazeno 1 - 10
of 159
pro vyhledávání: '"Temko, Andriy"'
Autor:
OShea, Alison, Ahmed, Rehan, Lightbody, Gordon, Mathieson, Sean, Pavlidis, Elena, Lloyd, Rhodri, Pisani, Francesco, Marnane, Willian, Boylan, Geraldine, Temko, Andriy
Publikováno v:
Int J Neural Syst (2021)
EEG is the gold standard for seizure detection in the newborn infant, but EEG interpretation in the preterm group is particularly challenging; trained experts are scarce and the task of interpreting EEG in real-time is arduous. Preterm infants are re
Externí odkaz:
http://arxiv.org/abs/2106.00611
Publikováno v:
Neural Networks (2020)
A deep learning classifier for detecting seizures in neonates is proposed. This architecture is designed to detect seizure events from raw electroencephalogram (EEG) signals as opposed to the state-of-the-art hand engineered feature-based representat
Externí odkaz:
http://arxiv.org/abs/2105.13854
Autor:
O'Sullivan, Mark, Gomez, Sergi, O'Shea, Alison, Salgado, Eduard, Huillca, Kevin, Mathieson, Sean, Boylan, Geraldine, Popovici, Emanuel, Temko, Andriy
This paper proposes and implements an intuitive and pervasive solution for neonatal EEG monitoring assisted by sonification and deep learning AI that provides information about neonatal brain health to all neonatal healthcare professionals, particula
Externí odkaz:
http://arxiv.org/abs/1806.04037
Autor:
Gomez, Sergi, O'Sullivan, Mark, Popovici, Emanuel, Mathieson, Sean, Boylan, Geraldine, Temko, Andriy
Significant training is required to visually interpret neonatal EEG signals. This study explores alternative sound-based methods for EEG interpretation which are designed to allow for intuitive and quick differentiation between healthy background act
Externí odkaz:
http://arxiv.org/abs/1806.03047
Autor:
Semenova, Oksana, Carra, Giorgia, Lightbody, Gordon, Boylan, Geraldine, Dempsey, Eugene, Temko, Andriy
Efficient management of low blood pressure (BP) in preterm neonates remains challenging with a considerable variability in clinical practice. The ability to assess preterm wellbeing during episodes of low BP will help to decide when and whether hypot
Externí odkaz:
http://arxiv.org/abs/1806.03046
Autor:
O'Sullivan, Mark, Popovici, Emanuel, Bocchino, Andrea, O'Mahony, Conor, Boylan, Geraldine, Temko, Andriy
Significant research has been conducted in recent years to design low-cost alternatives to the current EEG monitoring systems used in healthcare facilities. Testing such systems on a vulnerable population such as newborns is complicated due to ethica
Externí odkaz:
http://arxiv.org/abs/1806.03045
This 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 recep
Externí odkaz:
http://arxiv.org/abs/1806.03044
This study presents a novel end-to-end architecture that learns hierarchical representations from raw EEG data using fully convolutional deep neural networks for the task of neonatal seizure detection. The deep neural network acts as both feature ext
Externí odkaz:
http://arxiv.org/abs/1709.05849
Publikováno v:
Scientific Reports; 11/14/2024, Vol. 12 Issue 1, p1-15, 15p
Autor:
Temko, Andriy
Publikováno v:
TDX (Tesis Doctorals en Xarxa).
L'activitat humana que té lloc en sales de reunions o aules d'ensenyament es veu reflectida en una rica varietat d'events acústics, ja siguin produïts pel cos humà o per objectes que les persones manegen. Per això, la determinació de la identit
Externí odkaz:
http://hdl.handle.net/10803/6880