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Gordon Lightbody

Showing results (11-20 of 45) with videos related to

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Journal of Neural Engineering|June 21, 2012
Inclusion of temporal priors for automated neonatal EEG classificationAndriy Temko, Nathan Stevenson, William Marnane, et al.
Pediatric Research|June 10, 2022
Big data, machine learning, and population health: predicting cognitive outcomes in childhoodAndrea K Bowe, Gordon Lightbody, Anthony Staines, et al.
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|May 18, 2005
An evaluation of automated neonatal seizure detection methodsStephen Faul, Geraldine Boylan, Sean Connolly, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 8, 2009
An SVM-based system and its performance for detection of seizures in neonatesAndriy Temko, Eoin Thomas, Geraldine Boylan, et al.
IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|June 22, 2011
EEG signal description with spectral-envelope-based speech recognition features for detection of neonatal seizuresAndriy Temko, Climent Nadeu, William Marnane, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Temporal evolution of seizure burden for automated neonatal EEG classificationAndriy Temko, Nathan Stevenson, William Marnane, et al.
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|June 22, 2015
Grading hypoxic-ischemic encephalopathy severity in neonatal EEG using GMM supervectors and the support vector machineRehan Ahmed, Andriy Temko, William Marnane, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Identifying tracé alternant activity in neonatal EEG using an inter-burst detection approachSumit A Raurale, Geraldine B Boylan, Gordon Lightbody, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Classification of hypoxic-ischemic encephalopathy using long term heart rate variability based featuresRehan Ahmed, Andrey Temko, William P Marnane, et al.
Computers in Biology and Medicine|February 8, 2017
Exploring temporal information in neonatal seizures using a dynamic time warping based SVM kernelRehan Ahmed, Andriy Temko, William P Marnane, et al.
Pageof 5

Showing results (11-20 of 45) with videos related to

Sort By:
Pageof 5
Journal of Neural Engineering|June 21, 2012
Inclusion of temporal priors for automated neonatal EEG classificationAndriy Temko, Nathan Stevenson, William Marnane, et al.
Pediatric Research|June 10, 2022
Big data, machine learning, and population health: predicting cognitive outcomes in childhoodAndrea K Bowe, Gordon Lightbody, Anthony Staines, et al.
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|May 18, 2005
An evaluation of automated neonatal seizure detection methodsStephen Faul, Geraldine Boylan, Sean Connolly, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 8, 2009
An SVM-based system and its performance for detection of seizures in neonatesAndriy Temko, Eoin Thomas, Geraldine Boylan, et al.
IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|June 22, 2011
EEG signal description with spectral-envelope-based speech recognition features for detection of neonatal seizuresAndriy Temko, Climent Nadeu, William Marnane, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Temporal evolution of seizure burden for automated neonatal EEG classificationAndriy Temko, Nathan Stevenson, William Marnane, et al.
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|June 22, 2015
Grading hypoxic-ischemic encephalopathy severity in neonatal EEG using GMM supervectors and the support vector machineRehan Ahmed, Andriy Temko, William Marnane, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Identifying tracé alternant activity in neonatal EEG using an inter-burst detection approachSumit A Raurale, Geraldine B Boylan, Gordon Lightbody, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Classification of hypoxic-ischemic encephalopathy using long term heart rate variability based featuresRehan Ahmed, Andrey Temko, William P Marnane, et al.
Computers in Biology and Medicine|February 8, 2017
Exploring temporal information in neonatal seizures using a dynamic time warping based SVM kernelRehan Ahmed, Andriy Temko, William P Marnane, et al.
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