Efficient sleep stage recognition system based on EEG signal using k-means clustering based feature weighting
Sleep scoring is one of the most important methods for diagnosis in psychiatry and
neurology. Sleep staging is a time consuming and difficult task conducted by sleep …
neurology. Sleep staging is a time consuming and difficult task conducted by sleep …
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 …
Analysis of EEG signal to classify sleep stages using machine learning
Automated classification of sleep stages is in demand to overcome the limitations of manual
sleep stage classification. Analyzing sleep stages manually using neurophysiological …
sleep stage classification. Analyzing sleep stages manually using neurophysiological …
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 …
An ensemble system for automatic sleep stage classification using single channel EEG signal
The present work aims at automatic identification of various sleep stages like, sleep stages
1, 2, slow wave sleep (sleep stages 3 and 4), REM sleep and wakefulness from single …
1, 2, slow wave sleep (sleep stages 3 and 4), REM sleep and wakefulness from single …
A comparative study on classification of sleep stage based on EEG signals using feature selection and classification algorithms
Sleep scoring is one of the most important diagnostic methods in psychiatry and neurology.
Sleep staging is a time consuming and difficult task undertaken by sleep experts. This study …
Sleep staging is a time consuming and difficult task undertaken by sleep experts. This study …
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 …
Development of automated sleep stage classification system using multivariate projection-based fixed boundary empirical wavelet transform and entropy features …
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 …
A novel multi-class EEG-based sleep stage classification system
Sleep stage classification is one of the most critical steps in effective diagnosis and the
treatment of sleep-related disorders. Visual inspection undertaken by sleep experts is a time …
treatment of sleep-related disorders. Visual inspection undertaken by sleep experts is a time …
Classification of sleep stages using class-dependent sequential feature selection and artificial neural network
S Özşen - Neural Computing and Applications, 2013 - Springer
Several studies have been conducted for automatic classification of sleep stages to ease
time-consuming manual scoring process that can involve a high degree of experience and …
time-consuming manual scoring process that can involve a high degree of experience and …
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