Gordon Lightbody

Orcid: 0000-0002-8155-0826

According to our database1, Gordon Lightbody authored at least 66 papers between 1996 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Development of an EEG artefact detection algorithm and its application in grading neonatal hypoxic-ischemic encephalopathy.
Expert Syst. Appl., 2023

Neonatal Hypoxic-ischemic Encephalopathy Grading from Multi-channel EEG Time-series Data Using a Fully Convolutional Neural Network.
Proceedings of the 19th International Conference on Natural Computation, 2023

Bridging the Source-Target Mismatch with Pseudo Labeling for Neonatal Seizure Detection.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
Neonatal EEG graded for severity of background abnormalities in hypoxic-ischaemic encephalopathy.
CoRR, 2022

2021
Deep Learning for EEG Seizure Detection in Preterm Infants.
Int. J. Neural Syst., 2021

Tracé alternant detector for grading hypoxic-ischemic encephalopathy in neonatal EEG.
Proceedings of the 29th European Signal Processing Conference, 2021

Classification of fetal compromise during labour: signal processing and feature engineering of the cardiotocograph.
Proceedings of the 29th European Signal Processing Conference, 2021

Towards Deeper Neural Networks for Neonatal Seizure Detection.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Neonatal seizure detection from raw multi-channel EEG using a fully convolutional architecture.
Neural Networks, 2020

Grading the severity of hypoxic-ischemic encephalopathy in newborn EEG using a convolutional neural network.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Identifying tracé alternant activity in neonatal EEG using an inter-burst detection approach.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Prediction of short-term health outcomes in preterm neonates from heart-rate variability and blood pressure using boosted decision trees.
Comput. Methods Programs Biomed., 2019

Suitability of an inter-burst detection method for grading hypoxic-ischemic encephalopathy in newborn EEG.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Bag of Patterns for Nearest Neighbour Neonatal EEG Recall.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
An Adaptive Digital-Control Scheme for Improved Active Power Filtering Under Distorted Grid Conditions.
IEEE Trans. Ind. Electron., 2018

Decentralised L1 Adaptive Primary Controllers and Distributed Consensus-Based Secondary Control for DC Microgrids with Constant-Power Loads.
CoRR, 2018

A Distributed Scalable Architecture using L1 Adaptive Controllers for Primary Voltage Control of DC Microgrids.
CoRR, 2018

Voltage Control of DC Islanded Microgrids: Scalable Decentralised L1 Adaptive Controllers.
CoRR, 2018

Decentralised L1 Adaptive Controllers for Voltage Control of DC Islanded Microgrids.
Proceedings of the 16th European Control Conference, 2018

Heart Rate Variability during Periods of Low Blood Pressure as a Predictor of Short-Term Outcome in Preterms.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Investigating the Impact of CNN Depth on Neonatal Seizure Detection Performance.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

An Approximate Nearest Neighbour System For Neonatal EEG Recall.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Optimal Energy Providing Strategy of Micro-Grid's Operator Based on a Game Theoretical Approach.
Proceedings of the 5th International Conference on Control, 2018

2017
Exploring temporal information in neonatal seizures using a dynamic time warping based SVM kernel.
Comput. Biol. Medicine, 2017

Neonatal seizure detection using convolutional neural networks.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Modelling interactions between blood pressure and brain activity in preterm neonates.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
Application of audio fingerprinting to Neonatal EEG.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Clinical implementation of a neonatal seizure detection algorithm.
Decis. Support Syst., 2015

Multimodal predictor of neurodevelopmental outcome in newborns with hypoxic-ischaemic encephalopathy.
Comput. Biol. Medicine, 2015

Scalable, reconfigurable Model Predictive Control for building heating systems.
Proceedings of the 14th European Control Conference, 2015

Detection of seizures in intracranial EEG: UPenn and Mayo Clinic's Seizure Detection Challenge.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Stream computing for biomedical signal processing: A QRS complex detection case-study.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Assessment of quality of ECG for accurate estimation of Heart Rate Variability in newborns.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Classification of hypoxic-ischemic encephalopathy using long term heart rate variability based features.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Neonatal Seizure Detection Using Atomic Decomposition With a Novel Dictionary.
IEEE Trans. Biomed. Eng., 2014

EEG 'diarization' for the description of neonatal brain injuries.
Proceedings of the IEEE International Conference on Acoustics, 2014

Modulation frequency analysis of seizures in neonatal EEG.
Proceedings of the IEEE International Conference on Acoustics, 2014

Grading brain injury in neonatal EEG using SVM and supervector kernel.
Proceedings of the IEEE International Conference on Acoustics, 2014

Neonatal EEG audification for seizure detection.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Robustness of time frequency distribution based features for automated neonatal EEG seizure detection.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Discriminative and Generative Classification Techniques Applied to Automated Neonatal Seizure Detection.
IEEE J. Biomed. Health Informatics, 2013

Optimal Coordination of a Multiple HVDC Link System Using Centralized and Distributed Control.
IEEE Trans. Control. Syst. Technol., 2013

Robust neonatal EEG seizure Detection through Adaptive Background Modeling.
Int. J. Neural Syst., 2013

Weight optimisation for iterative distributed model predictive control applied to power networks.
Eng. Appl. Artif. Intell., 2013

2012
Instantaneous Measure of EEG Channel Importance for Improved Patient-Adaptive Neonatal Seizure Detection.
IEEE Trans. Biomed. Eng., 2012

Gaussian process internal model control.
Int. J. Syst. Sci., 2012

Temporal evolution of seizure burden for automated neonatal EEG classification.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

A novel dictionary for neonatal EEG seizure detection using atomic decomposition.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Dynamic time warping based neonatal seizure detection system.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
EEG Signal Description with Spectral-Envelope-Based Speech Recognition Features for Detection of Neonatal Seizures.
IEEE Trans. Inf. Technol. Biomed., 2011

Online EEG channel weighting for detection of seizures in the neonate.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
Nonlinear model-based control of highly nonlinear processes.
Comput. Chem. Eng., 2010

Validation of an Automated Seizure Detection System on Healthy Babies - Histogram-based Energy Normalization for Montage Mismatch Compensation.
Proceedings of the BIOSIGNALS 2010, 2010

2009
Gaussian process approach for modelling of nonlinear systems.
Eng. Appl. Artif. Intell., 2009

Improving distributed model predictive control performance via weight optimization using PSO.
Proceedings of the 2nd IFAC International Conference on Intelligent Control Systems and Signal Processing, 2009

2008
Nonlinear system identification: From multiple-model networks to Gaussian processes.
Eng. Appl. Artif. Intell., 2008

2007
Local Model Network Identification With Gaussian Processes.
IEEE Trans. Neural Networks, 2007

Gaussian Process Modeling of EEG for the Detection of Neonatal Seizures.
IEEE Trans. Biomed. Eng., 2007

2006
Gaussian Process Modelling as an Indicator of Neonatal Seizure.
Proceedings of the IASTED International Conference on Signal Processing, 2006

2005
A method for the blind separation of sources for use as the first stage of a neonatal seizure detection system.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2003
Internal model control based on a Gaussian process prior model.
Proceedings of the American Control Conference, 2003

1999
RBF principal manifolds for process monitoring.
IEEE Trans. Neural Networks, 1999

1998
A hybrid linear/nonlinear training algorithm for feedforward neural networks.
IEEE Trans. Neural Networks, 1998

1997
Nonlinear control structures based on embedded neural system models.
IEEE Trans. Neural Networks, 1997

Hybrid neural adaptive control for bank-to-turn missiles.
IEEE Trans. Control. Syst. Technol., 1997

1996
Multi-layer perceptron based modelling of nonlinear systems.
Fuzzy Sets Syst., 1996


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