Back to basics: the neuronal substrates and mechanisms that underlie the electroencephalogram in premature neonates

F Wallois, L Routier, C Heberlé… - Neurophysiologie …, 2021 - Elsevier
Electroencephalography is the only clinically available technique that can address the
premature neonate normal and pathological functional development week after week. The …

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 …

Early brain activity relates to subsequent brain growth in premature infants

MJ Benders, K Palmu, C Menache… - Cerebral …, 2015 - academic.oup.com
Recent experimental studies have shown that early brain activity is crucial for neuronal
survival and the development of brain networks; however, it has been challenging to assess …

Automated classification of neonatal sleep states using EEG

N Koolen, L Oberdorfer, Z Rona, V Giordano… - Clinical …, 2017 - Elsevier
Objective To develop a method for automated neonatal sleep state classification based on
EEG that can be applied over a wide range of age. Methods We collected 231 EEG …

An automated quiet sleep detection approach in preterm infants as a gateway to assess brain maturation

A Dereymaeker, K Pillay, J Vervisch… - … journal of neural …, 2017 - World Scientific
Sleep state development in preterm neonates can provide crucial information regarding
functional brain maturation and give insight into neurological well being. However, visual …

Automated cot‐side tracking of functional brain age in preterm infants

NJ Stevenson, L Oberdorfer… - Annals of clinical …, 2020 - Wiley Online Library
Objective A major challenge in the care of preterm infants is the early identification of
compromised neurological development. While several measures are routinely used to track …

Assessing instantaneous energy in the EEG: a non-negative, frequency-weighted energy operator

JM O'Toole, A Temko… - 2014 36th Annual …, 2014 - ieeexplore.ieee.org
Signal processing measures of instantaneous energy typically include only amplitude
information. But measures that include both amplitude and frequency do better at assessing …

Estimating functional brain maturity in very and extremely preterm neonates using automated analysis of the electroencephalogram

JM O'Toole, GB Boylan, S Vanhatalo… - Clinical …, 2016 - Elsevier
Objective To develop an automated estimate of EEG maturational age (EMA) for preterm
neonates. Methods The EMA estimator was based on the analysis of hourly epochs of EEG …

An automated system for grading EEG abnormality in term neonates with hypoxic-ischaemic encephalopathy

NJ Stevenson, I Korotchikova, A Temko… - Annals of biomedical …, 2013 - Springer
Automated analysis of the neonatal EEG has the potential to assist clinical decision making
for neonates with hypoxic-ischaemic encephalopathy. This paper proposes a method of …

Line length as a robust method to detect high-activity events: automated burst detection in premature EEG recordings

N Koolen, K Jansen, J Vervisch, V Matic… - Clinical …, 2014 - Elsevier
Objective EEG is a valuable tool for evaluation of brain maturation in preterm babies.
Preterm EEG constitutes of high voltage burst activities and more suppressed episodes …