GRU-powered sleep stage classification with permutation-based EEG channel selection

LA Moctezuma, Y Suzuki, J Furuki, M Molinas… - Scientific Reports, 2024 - nature.com
We present a new approach to classifying the sleep stage that incorporates a
computationally inexpensive method based on permutations for channel selection and takes …

[HTML][HTML] Sleepyco: Automatic sleep scoring with feature pyramid and contrastive learning

S Lee, Y Yu, S Back, H Seo, K Lee - Expert Systems with Applications, 2024 - Elsevier
Automatic sleep scoring is essential for the diagnosis and treatment of sleep disorders and
enables longitudinal sleep tracking in home environments. Conventionally, learning-based …

Hybrid spiking neural network for sleep electroencephalogram signals

Z Jia, J Ji, X Zhou, Y Zhou - Science China Information Sciences, 2022 - Springer
Sleep staging is important for assessing sleep quality. So far, many scholars have tried to
achieve automatic sleep staging by using neural networks. However, most researchers only …

A review of automated sleep stage based on EEG signals

X Zhang, X Zhang, Q Huang, Y Lv, F Chen - Biocybernetics and Biomedical …, 2024 - Elsevier
Sleep disorders have increasingly impacted healthy lifestyles. Accurate scoring of sleep
stages is crucial for diagnosing patients with sleep disorders. The precision of sleep staging …