Search Results - "Lightbody, Gordon"

Analysis of the impact of deep learning know-how and data in modelling neonatal EEG by Daly, Aengus, Lightbody, Gordon, Temko, Andriy

“…The performance gains achieved by deep learning models nowadays are mainly attributed to the usage of ever larger datasets. In this study, we present and…”
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Distributed MPC for frequency regulation in multi-terminal HVDC grids by Mc Namara, Paul, Negenborn, Rudy R., De Schutter, Bart, Lightbody, Gordon, McLoone, Seán

“…Multi-Terminal high voltage Direct Current (MTDC) transmission lines enable radial or meshed DC grid configurations to be used in electrical power networks,…”
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Coupling between mean blood pressure and EEG in preterm neonates is associated with reduced illness severity scores by Semenova, Oksana, Lightbody, Gordon, O'Toole, John M, Boylan, Geraldine, Dempsey, Eugene, Temko, Andriy

“…Hypotension or low blood pressure (BP) is a common problem in preterm neonates and has been associated with adverse short and long-term neurological outcomes…”
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Neonatal Hypoxic-Ischemic Encephalopathy Grading from Multi-Channel EEG Time-Series Data Using a Fully Convolutional Neural Network by Yu, Shuwen, Marnane, William P, Boylan, Geraldine B, Lightbody, Gordon

“…A deep learning classifier is proposed for grading hypoxic-ischemic encephalopathy (HIE) in neonates. Rather than using handcrafted features, this architecture…”
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Robust neonatal EEG seizure detection through adaptive background modeling by Temko, Andriy, Boylan, Geraldine, Marnane, William, Lightbody, Gordon

“…Adaptive probabilistic modeling of the EEG background is proposed for seizure detection in neonates with hypoxic ischemic encephalopathy. The decision is made…”
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Predicting Low Cognitive Ability at Age 5—Feature Selection Using Machine Learning Methods and Birth Cohort Data by Bowe, Andrea K., Lightbody, Gordon, Staines, Anthony, Kiely, Mairead E., McCarthy, Fergus P., Murray, Deirdre M.

“…Objectives: In this study, we applied the random forest (RF) algorithm to birth-cohort data to train a model to predict low cognitive ability at 5 years of age…”
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Neonatal EEG graded for severity of background abnormalities in hypoxic-ischaemic encephalopathy by O’Toole, John M., Mathieson, Sean R., Raurale, Sumit A., Magarelli, Fabio, Marnane, William P., Lightbody, Gordon, Boylan, Geraldine B.

“…This report describes a set of neonatal electroencephalogram (EEG) recordings graded according to the severity of abnormalities in the background pattern. The…”
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Toward a Personalized Real-Time Diagnosis in Neonatal Seizure Detection by Temko, Andriy, Sarkar, Achintya Kr, Boylan, Geraldine B., Mathieson, Sean, Marnane, William P., Lightbody, Gordon

“…The problem of creating a personalized seizure detection algorithm for newborns is tackled in this paper. A probabilistic framework for semi-supervised…”
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Neonatal seizure detection from raw multi-channel EEG using a fully convolutional architecture by O’Shea, Alison, Lightbody, Gordon, Boylan, Geraldine, Temko, Andriy

“…A deep learning classifier for detecting seizures in neonates is proposed. This architecture is designed to detect seizure events from raw electroencephalogram…”
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Detecting Neonatal Seizures With Computer Algorithms by Temko, Andriy, Lightbody, Gordon

“…It is now generally accepted that EEG is the only reliable way to accurately detect newborn seizures and, as such, prolonged EEG monitoring is increasingly…”
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Smart transactive energy framework in grid-connected multiple home microgrids under independent and coalition operations by Marzband, Mousa, Azarinejadian, Fatemeh, Savaghebi, Mehdi, Pouresmaeil, Edris, Guerrero, Josep M., Lightbody, Gordon

“…This paper presents a smart Transactive energy (TE) framework in which home microgrids (H-MGs) can collaborate with each other in a multiple H-MG system by…”
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Development of a Network-Wide Harmonic Control Scheme Using an Active Filter by Kennedy, K., Lightbody, G., Yacamini, R., Murray, M., Kennedy, J.

“…This paper charts the development of a network-wide harmonic control scheme using an active filter. The individual components required are discussed and…”
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An advanced retail electricity market for active distribution systems and home microgrid interoperability based on game theory by Marzband, Mousa, Javadi, Masoumeh, Pourmousavi, S. Ali, Lightbody, Gordon

“…•An advanced retail electricity market is proposed for active distribution networks.•Various flexibility resources and numerous players can be accommodated…”
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Grading hypoxic–ischemic encephalopathy severity in neonatal EEG using GMM supervectors and the support vector machine by Ahmed, Rehan, Temko, Andriy, Marnane, William, Lightbody, Gordon, Boylan, Geraldine

“…Highlights • An automated system for grading hypoxic–ischemic encephalopathy (HIE) severity using EEG is presented. • The classification approach is based on…”
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Big data, machine learning, and population health: predicting cognitive outcomes in childhood by Bowe, Andrea K., Lightbody, Gordon, Staines, Anthony, Murray, Deirdre M.

“…The application of machine learning (ML) to address population health challenges has received much less attention than its application in the clinical setting…”
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Co-design of a wave energy converter using constrained predictive control by O'Sullivan, Adrian C.M., Lightbody, Gordon

“…This paper highlights the need to optimise the performance of the complete wave to wire system, instead of designing the individual subsystems. In this work a…”
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Framework for smart transactive energy in home-microgrids considering coalition formation and demand side management by Marzband, Mousa, Fouladfar, Mohammad Hossein, Akorede, Mudathir Funsho, Lightbody, Gordon, Pouresmaeil, Edris

“…•A general framework for analysing and modeling the players’ behaviour in a deregulated competitive electricity market is developed at the residential…”
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An Adaptive Digital-Control Scheme for Improved Active Power Filtering Under Distorted Grid Conditions by Hogan, Diarmaid John, Gonzalez-Espin, Francisco J., Hayes, John G., Lightbody, Gordon, Foley, Raymond

“…The operation of active power filters (APFs) under nonideal grid conditions, such as grid-frequency fluctuation and voltage harmonics, can lead to significant…”
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Clinical implementation of a neonatal seizure detection algorithm by Temko, Andriy, Marnane, William, Boylan, Geraldine, Lightbody, Gordon

“…Technologies for automated detection of neonatal seizures are gradually moving towards cot-side implementation. The aim of this paper is to present different…”
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Development of an EEG artefact detection algorithm and its application in grading neonatal hypoxic-ischemic encephalopathy by O'Sullivan, Mark E., Lightbody, Gordon, Mathieson, Sean R., Marnane, William P., Boylan, Geraldine B., O'Toole, John M.

“…•Multiple neonatal EEG artefact detection classifiers were designed and compared.•A convolutional neural network achieved highest artefact detection…”
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