… a multi-scale deep convolutional neural network for the same purpose [24]… a hybrid ensemble
voting model to optimize the reliability and accuracy of neonatal sleep stage classification. …

… In this work, a novel hybrid neural network named HNSleepNet was proposed for the
automatic sleep staging with raw single-channel EEG in smart home healthcare. It consists of two …

… We adopted a cohort of six different deep neural networks in this study. The … Jeon et al.,
“Pediatric sleep stage classification using multi-domain hybrid neural networks,” IEEE Access, vol…

… We adopted a cohort of six different deep neural networks in this study. The … Jeon et al.,
“Pediatric sleep stage classification using multi-domain hybrid neural networks,” IEEE Access, vol…

… sleep staging methods have usually been developed using … an automatic sleep staging
method based on hybrid stacked … evaluated using a large-scale dataset of subjects with sleep …

… memory network architecture enables accurate pediatric sleep stage classification using
raw … of a combined convolutional neural network (CNN) and recurrent neural network (RNN) …

… deep neural network (DNN). A total of 5095 … are annotated by a medical doctor from the
Pediatric Neurology … mixture models (GMM), and hybrid neural network (HNN). The metrics …

… to-end classifier based on a multi-domain hybrid neural network (HNN-… sleep staging of
children’s scalp EEG. Kuo and Chen (2020) proposed an automatic sleep staging method based …

… many pediatric sleep stage categorization approaches that … of a 30-second multi-domain
HNN. Despite utilizing the PSG … Overall, this design of hybrid neural networks that operate …

… sleep staging methods that can diminish the impact of sleep … findings on automatic
sleep stage classification based on … Hilbert transform Multi-domain hybrid neural network (HNN) …