Analysis and automatic identification of sleep stages using higher order spectra
Electroencephalogram (EEG) signals are widely used to study the activity of the brain, such
as to determine sleep stages. These EEG signals are nonlinear and non-stationary in …
as to determine sleep stages. These EEG signals are nonlinear and non-stationary in …
[HTML][HTML] An intelligent model involving multi-channels spectrum patterns based features for automatic sleep stage classification
Effective sleep monitoring from electroencephalogram (EEG) signals is meaningful for the
diagnosis of sleep disorders, such as sleep Apnea, Insomnia, Snoring, Sleep …
diagnosis of sleep disorders, such as sleep Apnea, Insomnia, Snoring, Sleep …
Nonlinear dynamics measures for automated EEG-based sleep stage detection
Background: The brain's continuous neural activity during sleep can be monitored by
electroencephalogram (EEG) signals. The EEG wave pattern and frequency vary during five …
electroencephalogram (EEG) signals. The EEG wave pattern and frequency vary during five …
Robust sleep stage classification with single-channel EEG signals using multimodal decomposition and HMM-based refinement
D Jiang, Y Lu, MA Yu, W Yuanyuan - Expert Systems with Applications, 2019 - Elsevier
Sleep stage classification is a most important process in sleep scoring which is used to
evaluate sleep quality and diagnose sleep-related diseases. Compared to complex sleep …
evaluate sleep quality and diagnose sleep-related diseases. Compared to complex sleep …
Automated sleep stage identification system based on time–frequency analysis of a single EEG channel and random forest classifier
In this work, an efficient automated new approach for sleep stage identification based on the
new standard of the American academy of sleep medicine (AASM) is presented. The …
new standard of the American academy of sleep medicine (AASM) is presented. The …
Sleep stage classification in EEG signals using the clustering approach based probability distribution features coupled with classification algorithms
W Al-Salman, Y Li, AY Oudah, S Almaged - Neuroscience Research, 2023 - Elsevier
Sleep scoring is one of the primary tasks for the classification of sleep stages in
Electroencephalogram (EEG) signals. Manual visual scoring of sleep stages is time …
Electroencephalogram (EEG) signals. Manual visual scoring of sleep stages is time …
EEG feature extraction for classification of sleep stages
Automated sleep staging based on EEG signal analysis provides an important quantitative
tool to assist neurologists and sleep specialists in the diagnosis and monitoring of sleep …
tool to assist neurologists and sleep specialists in the diagnosis and monitoring of sleep …
[PDF][PDF] Automatic sleep stage scoring with wavelet packets based on single EEG recording
LA Fraiwan, NY Khaswaneh… - International Journal of …, 2009 - academia.edu
Sleep stage scoring is the process of classifying the stage of the sleep in which the subject is
in. Sleep is classified into two states based on the constellation of physiological parameters …
in. Sleep is classified into two states based on the constellation of physiological parameters …
Determining a continuous marker for sleep depth
Detection and quantification of sleep arousals is an important issue, as the frequent arousals
are known to reduce the quality of sleep and cause daytime sleepiness. In typical sleep …
are known to reduce the quality of sleep and cause daytime sleepiness. In typical sleep …
[HTML][HTML] Development of automated sleep stage classification system using multivariate projection-based fixed boundary empirical wavelet transform and entropy …
The categorization of sleep stages helps to diagnose different sleep-related ailments. In this
paper, an entropy-based information–theoretic approach is introduced for the automated …
paper, an entropy-based information–theoretic approach is introduced for the automated …