Publications by authors named "D C G Straver"
Background And Objectives: Early neuroprognostication in children with reduced consciousness after cardiac arrest (CA) is a major clinical challenge. EEG is frequently used for neuroprognostication in adults, but has not been sufficiently validated for this indication in children. Using machine learning techniques, we studied the predictive value of quantitative EEG (qEEG) features for survival 12 months after CA, based on EEG recordings obtained 24 hours after CA in children.
View Article and Find Full Text PDFArticle Synopsis
- The study explored the potential of supervised machine learning applied to ECG data for real-time sleep monitoring in pediatric intensive care, which is currently not available.
- Researchers analyzed polysomnography recordings from 90 non-critically ill children, developing various machine learning models to classify sleep states based on derived features from the ECG data.
- Results showed that the models achieved moderate to good accuracy, especially in classifying two and three sleep states, with the XGBoost model performing best overall, highlighting the method's promise for bedside use.
Article Synopsis
- The study aims to create a straightforward index for sleep classification using electroencephalography data to address sleep disruption in pediatric intensive care units where real-time monitoring is unavailable.! -
- A retrospective analysis was performed at Erasmus MC Sophia Children's Hospital on polysomnography recordings from non-critically ill children between 2017 and 2021, evaluating sleep patterns across various age groups and frequency bands.! -
- The results indicated a strong performance of the developed sleep index, particularly with a gamma to delta power ratio, achieving balanced accuracy rates of up to 0.92 for two-state classifications in different age categories, suggesting it could facilitate automated sleep monitoring for children aged 6 months to 18 years.!
Objective: The inability to properly process visual information has been frequently associated with neurofibromatosis type 1 (NF1). Based on animal studies, the cause of cognitive disabilities in NF1 is hypothesized to arise from decreased synaptic plasticity. Visual cortical plasticity in humans can be investigated by studying visual evoked potentials (VEPs) in response to visual stimulation.
View Article and Find Full Text PDFObjectives: Postresuscitation care in children focuses on preventing secondary neurologic injury and attempts to provide (precise) prognostication for both caregivers and the medical team. This systematic review provides an overview of neuromonitoring modalities and their potential role in neuroprognostication in postcardiac arrest children.
Data Resources: Databases EMBASE, Web of Science, Cochrane, MEDLINE Ovid, Google Scholar, and PsycINFO Ovid were searched in February 2019.