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06/09/2022
Neonatal EEG graded for severity of background abnormalities in hypoxic-ischaemic encephalopathy
This report describes a set of neonatal electroencephalogram (EEG) recor...
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08/04/2021
Random Convolution Kernels with Multi-Scale Decomposition for Preterm EEG Inter-burst Detection
Linear classifiers with random convolution kernels are computationally e...
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05/12/2020
Grading the severity of hypoxic-ischemic encephalopathy in newborn EEG using a convolutional neural network
Electroencephalography (EEG) is a valuable clinical tool for grading inj...
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05/12/2020
Identifying trace alternant activity in neonatal EEG using an inter-burst detection approach
Electroencephalography (EEG) is an important clinical tool for reviewing...
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07/16/2019
Machine learning without a feature set for detecting bursts in the EEG of preterm infants
Deep neural networks enable learning directly on the data without the do...
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07/05/2019