Publications by authors named "Tim Hermans"
Article Synopsis
- Preterm neonates face long-term neurodevelopmental risks due to disrupted brain development, and EEG analysis can help understand these changes.
- This study examines microstate analysis of EEGs from 135 recordings of 48 preterm neonates, focusing on brain activity during quiet and non-quiet sleep across different ages.
- Results indicate significant changes in microstate metrics with maturation, suggesting that microstate analysis may be a helpful tool for tracking brain development in preterm infants and could provide insights for those with abnormal outcomes.
. Automated artefact detection in the neonatal electroencephalogram (EEG) is crucial for reliable automated EEG analysis, but limited availability of expert artefact annotations challenges the development of deep learning models for artefact detection. This paper proposes a semi-supervised deep learning approach for artefact detection in neonatal EEG that requires few labelled data by training a multi-task convolutional neural network (CNN).
View Article and Find Full Text PDFIn neonates with hypoxic ischemic encephalopathy, the computation of wavelet coherence between electroencephalogram (EEG) power and regional cerebral oxygen saturation (rSO2) is a promising method for the assessment of neurovascular coupling (NVC), which in turn is a promising marker for brain injury. However, instabilities in arterial oxygen saturation (SpO2) limit the robustness of previously proposed methods. Therefore, we propose the use of partial wavelet coherence, which can eliminate the influence of SpO2.
View Article and Find Full Text PDFBrain monitoring is important in neonates with asphyxia in order to assess the severity of hypoxic ischaemic encephalopathy (HIE) and identify neonates at risk of adverse neurodevelopmental outcome. Previous studies suggest that neurovascular coupling (NVC), quantified as the interaction between electroencephalography (EEG) and near-infrared spectroscopy (NIRS)-derived regional cerebral oxygen saturation (rSO) is a promising biomarker for HIE severity and outcome. In this study, we explore how wavelet coherence can be used to assess NVC.
View Article and Find Full Text PDFObjective: Neonates with Congenital Heart Disease (CHD) have structural delays in brain development. To evaluate whether functional brain maturation and sleep-wake physiology is also disturbed, the Functional Brain Age (FBA) and sleep organisation on EEG during the neonatal period is investigated.
Methods: We compared 15 neonates with CHD who underwent multichannel EEG with healthy term newborns of the same postmenstrual age, including subgroup analysis for d-Transposition of the Great Arteries (d-TGA) (n = 8).