[HTML][HTML] State of the art of machine learning–enabled clinical decision support in intensive care units: literature review
N Hong, C Liu, J Gao, L Han, F Chang… - JMIR medical …, 2022 - medinform.jmir.org
Background Modern clinical care in intensive care units is full of rich data, and machine
learning has great potential to support clinical decision-making. The development of …
learning has great potential to support clinical decision-making. The development of …
Flexible electrodes for brain–computer interface system
Brain–computer interface (BCI) has been the subject of extensive research recently.
Governments and companies have substantially invested in relevant research and …
Governments and companies have substantially invested in relevant research and …
Towards real-life EEG applications: Novel superporous hydrogel-based semi-dry EEG electrodes enabling automatically 'charge–discharge'electrolyte
G Li, S Wang, M Li, YY Duan - Journal of Neural Engineering, 2021 - iopscience.iop.org
Objective. A novel polyacrylamide/polyvinyl alcohol superporous hydrogel (PAAm/PVA
SPH)-based semi-dry electrode was constructed for capturing electroencephalogram (EEG) …
SPH)-based semi-dry electrode was constructed for capturing electroencephalogram (EEG) …
Review of sleep-EEG in preterm and term neonates
Neonatal sleep is a crucial state that involves endogenous driven brain activity, important for
neuronal survival and guidance of brain networks. Sequential EEG-sleep analysis in …
neuronal survival and guidance of brain networks. Sequential EEG-sleep analysis in …
Towards emerging EEG applications: A novel printable flexible Ag/AgCl dry electrode array for robust recording of EEG signals at forehead sites
G Li, J Wu, Y Xia, Y Wu, Y Tian, J Liu… - Journal of Neural …, 2020 - iopscience.iop.org
Objectives. With the rapid development of EEG-based wearable healthcare devices and
brain–computer interfaces, reliable and user-friendly EEG sensors for EEG recording …
brain–computer interfaces, reliable and user-friendly EEG sensors for EEG recording …
[PDF][PDF] EEG-based neonatal sleep stage classification using ensemble learning
Sleep stage classification can provide important information regarding neonatal brain
development and maturation. Visual annotation, using polysomnography (PSG), is …
development and maturation. Visual annotation, using polysomnography (PSG), is …
Waking up too early–the consequences of preterm birth on sleep development
L Bennet, DW Walker, RSC Horne - The Journal of physiology, 2018 - Wiley Online Library
Good quality sleep of sufficient duration is vital for optimal physiological function and our
health. Sleep deprivation is associated with impaired neurocognitive function and emotional …
health. Sleep deprivation is associated with impaired neurocognitive function and emotional …
EEG-based neonatal sleep-wake classification using multilayer perceptron neural network
Objective: Classification of sleep-wake states using multichannel electroencephalography
(EEG) data that reliably work for neonates. Methods: A deep multilayer perceptron (MLP) …
(EEG) data that reliably work for neonates. Methods: A deep multilayer perceptron (MLP) …
A hybrid DCNN-SVM model for classifying neonatal sleep and wake states based on facial expressions in video
Sleep is a natural phenomenon controlled by the central nervous system. The sleep-wake
pattern, which functions as an essential indicator of neurophysiological organization in the …
pattern, which functions as an essential indicator of neurophysiological organization in the …
Early brain activity: translations between bedside and laboratory
Neural activity is both a driver of brain development and a readout of developmental
processes. Changes in neuronal activity are therefore both the cause and consequence of …
processes. Changes in neuronal activity are therefore both the cause and consequence of …