Quantitative EEG and prediction of outcome in neonatal encephalopathy: a review

S Roychaudhuri, K Hannon, J Sunwoo, AA Garvey… - Pediatric …, 2024 - nature.com
Electroencephalogram (EEG) is an important biomarker for neonatal encephalopathy (NE)
and has significant predictive value for brain injury and neurodevelopmental outcomes …

Predicting age from brain EEG signals—a machine learning approach

O Al Zoubi, C Ki Wong, RT Kuplicki, H Yeh… - Frontiers in aging …, 2018 - frontiersin.org
Objective: The brain age gap estimate (BrainAGE) is the difference between the estimated
age and the individual chronological age. BrainAGE was studied primarily using MRI …

Quantitative preterm EEG analysis: the need for caution in using modern data science techniques

JM O'Toole, GB Boylan - Frontiers in pediatrics, 2019 - frontiersin.org
Hemodynamic changes during neonatal transition increase the vulnerability of the preterm
brain to injury. Real-time monitoring of brain function during this period would help identify …

Machine learning for the early prediction of infants with electrographic seizures in neonatal hypoxic‐ischemic encephalopathy

AM Pavel, JM O'Toole, J Proietti, V Livingstone… - …, 2023 - Wiley Online Library
Objective To assess if early clinical and electroencephalography (EEG) features predict later
seizure development in infants with hypoxic‐ischemic encephalopathy (HIE). Methods …

Grading hypoxic-ischemic encephalopathy in neonatal EEG with convolutional neural networks and quadratic time–frequency distributions

SA Raurale, GB Boylan, SR Mathieson… - Journal of Neural …, 2021 - iopscience.iop.org
Objective. To develop an automated system to classify the severity of hypoxic-ischaemic
encephalopathy injury (HIE) in neonates from the background electroencephalogram (EEG) …

Feature extraction and classification of EEG signals for seizure detection

A Nandy, MA Alahe, SMN Uddin, S Alam… - … Electrical and Signal …, 2019 - ieeexplore.ieee.org
Epileptic seizure is a neurological disorder characterized by abnormal synchronous
discharge of the neuronal activities in the brain structures. These abnormal electrical …

Psychological stimulation for anxious states detection based on EEG-related features

A Baghdadi, Y Aribi, R Fourati, N Halouani… - Journal of Ambient …, 2021 - Springer
Anxiety affects human capabilities and behavior as much as it affects productivity and quality
of life. It is considered to be the main cause of depression and suicide. Anxious states are …

Early qualitative and quantitative amplitude-integrated electroencephalogram and raw electroencephalogram for predicting long-term neurodevelopmental outcomes …

X Wang, C Trabatti, L Weeke, J Dudink… - The Lancet Digital …, 2023 - thelancet.com
Background Extremely preterm infants (< 28 weeks of gestation) are at great risk of long-
term neurodevelopmental impairments. Early amplitude-integrated electroencephalogram …

Multichannel EEG abnormalities during the first 6 hours in infants with mild hypoxic–ischaemic encephalopathy

AA Garvey, AM Pavel, JM O'Toole, BH Walsh… - Pediatric …, 2021 - nature.com
Background Infants with mild HIE are at risk of significant disability at follow-up. In the pre-
therapeutic hypothermia (TH) era, electroencephalography (EEG) within 6 hours of birth was …

Mel frequency cepstral coefficients enhance imagined speech decoding accuracy from EEG

C Cooney, R Folli, D Coyle - 2018 29th Irish Signals and …, 2018 - ieeexplore.ieee.org
Imagined speech has recently become an important neuro-paradigm in the field of brain-
computer interface (BCI) research. Electroencephalogram (EEG) recordings during …