Current status and prospects of automatic sleep stages scoring
The scoring of sleep stages is one of the essential tasks in sleep analysis. Since a manual
procedure requires considerable human and financial resources, and incorporates some …
procedure requires considerable human and financial resources, and incorporates some …
Electro-encephalography and electro-oculography in aeronautics: A review over the last decade (2010–2020)
C Belkhiria, V Peysakhovich - Frontiers in Neuroergonomics, 2020 - frontiersin.org
Electro-encephalography (EEG) and electro-oculography (EOG) are methods of
electrophysiological monitoring that have potentially fruitful applications in neuroscience …
electrophysiological monitoring that have potentially fruitful applications in neuroscience …
Eognet: A novel deep learning model for sleep stage classification based on single-channel eog signal
In recent years, automatic sleep staging methods have achieved competitive performance
using electroencephalography (EEG) signals. However, the acquisition of EEG signals is …
using electroencephalography (EEG) signals. However, the acquisition of EEG signals is …
Towards interpretable sleep stage classification using cross-modal transformers
J Pradeepkumar, M Anandakumar… - … on Neural Systems …, 2024 - ieeexplore.ieee.org
Accurate sleep stage classification is significant for sleep health assessment. In recent
years, several machine-learning based sleep staging algorithms have been developed, and …
years, several machine-learning based sleep staging algorithms have been developed, and …
Automated classification of multi-class sleep stages classification using polysomnography signals: a nine-layer 1D-convolution neural network approach
SK Satapathy, D Loganathan - Multimedia Tools and Applications, 2023 - Springer
Sleep disorder diseases have one of the major health issues across the world. To handle
this issue the primary step taken by most of the sleep experts is the sleep staging …
this issue the primary step taken by most of the sleep experts is the sleep staging …
Inter-database validation of a deep learning approach for automatic sleep scoring
D Alvarez-Estevez, RM Rijsman - PloS one, 2021 - journals.plos.org
Study objectives Development of inter-database generalizable sleep staging algorithms
represents a challenge due to increased data variability across different datasets. Sharing …
represents a challenge due to increased data variability across different datasets. Sharing …
Overview of a sleep monitoring protocol for a large natural population
A standard operating procedure for studying the sleep phenotypes in a large population
cohort is proposed. It is intended for academic researchers in investigating the sleep …
cohort is proposed. It is intended for academic researchers in investigating the sleep …
Unsupervised sleep staging system based on domain adaptation
R Zhao, Y Xia, Y Zhang - Biomedical Signal Processing and Control, 2021 - Elsevier
Currently, most deep-learning-based sleep staging system relies heavily on a large number
of labeled physiological signals. However, sleep-related data, such as polysommography …
of labeled physiological signals. However, sleep-related data, such as polysommography …
Cross-comparison of EMG-to-force methods for multi-DoF finger force prediction using one-DoF training
Surface electromyography (sEMG) signal is one of the widely applied biological signals in
the research field of the force intention prediction. However, due to the severe cross-talk …
the research field of the force intention prediction. However, due to the severe cross-talk …
The effect of coupled electroencephalography signals in electrooculography signals on sleep staging based on deep learning methods
The influence of the coupled electroencephalography (EEG) signal in electrooculography
(EOG) on EOG-based automatic sleep staging has been ignored. Since the EOG and …
(EOG) on EOG-based automatic sleep staging has been ignored. Since the EOG and …