Automatic sleep staging of EEG signals: recent development, challenges, and future directions
H Phan, K Mikkelsen - Physiological Measurement, 2022 - iopscience.iop.org
Modern deep learning holds a great potential to transform clinical studies of human sleep.
Teaching a machine to carry out routine tasks would be a tremendous reduction in workload …
Teaching a machine to carry out routine tasks would be a tremendous reduction in workload …
A comparative review on sleep stage classification methods in patients and healthy individuals
Background and objective: Proper scoring of sleep stages can give clinical information on
diagnosing patients with sleep disorders. Since traditional visual scoring of the entire sleep …
diagnosing patients with sleep disorders. Since traditional visual scoring of the entire sleep …
A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series
S Chambon, MN Galtier, PJ Arnal… - … on Neural Systems …, 2018 - ieeexplore.ieee.org
Sleep stage classification constitutes an important preliminary exam in the diagnosis of
sleep disorders. It is traditionally performed by a sleep expert who assigns to each 30 s of …
sleep disorders. It is traditionally performed by a sleep expert who assigns to each 30 s of …
Expert-level sleep scoring with deep neural networks
Objectives Scoring laboratory polysomnography (PSG) data remains a manual task of
visually annotating 3 primary categories: sleep stages, sleep disordered breathing, and limb …
visually annotating 3 primary categories: sleep stages, sleep disordered breathing, and limb …
A deep learning model for automated sleep stages classification using PSG signals
Sleep disorder is a symptom of many neurological diseases that may significantly affect the
quality of daily life. Traditional methods are time-consuming and involve the manual scoring …
quality of daily life. Traditional methods are time-consuming and involve the manual scoring …
Ensemble SVM method for automatic sleep stage classification
E Alickovic, A Subasi - IEEE Transactions on Instrumentation …, 2018 - ieeexplore.ieee.org
Sleep scoring is used as a diagnostic technique in the diagnosis and treatment of sleep
disorders. Automated sleep scoring is crucial, since the large volume of data should be …
disorders. Automated sleep scoring is crucial, since the large volume of data should be …
Automatic sleep stage scoring with single-channel EEG using convolutional neural networks
We used convolutional neural networks (CNNs) for automatic sleep stage scoring based on
single-channel electroencephalography (EEG) to learn task-specific filters for classification …
single-channel electroencephalography (EEG) to learn task-specific filters for classification …
Mixed neural network approach for temporal sleep stage classification
This paper proposes a practical approach to addressing limitations posed by using of single-
channel electroencephalography (EEG) for sleep stage classification. EEG-based …
channel electroencephalography (EEG) for sleep stage classification. EEG-based …
Automatic sleep stage scoring using time-frequency analysis and stacked sparse autoencoders
We developed a machine learning methodology for automatic sleep stage scoring. Our time-
frequency analysis-based feature extraction is fine-tuned to capture sleep stage-specific …
frequency analysis-based feature extraction is fine-tuned to capture sleep stage-specific …
Learning machines and sleeping brains: automatic sleep stage classification using decision-tree multi-class support vector machines
T Lajnef, S Chaibi, P Ruby, PE Aguera… - Journal of neuroscience …, 2015 - Elsevier
Background Sleep staging is a critical step in a range of electrophysiological signal
processing pipelines used in clinical routine as well as in sleep research. Although the …
processing pipelines used in clinical routine as well as in sleep research. Although the …