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 …
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 …
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 …
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 …
A decision support system for automated identification of sleep stages from single-channel EEG signals
A decision support system for automated detection of sleep stages can alleviate the burden
of medical professionals of manually annotating a large bulk of data, expedite sleep disorder …
of medical professionals of manually annotating a large bulk of data, expedite sleep disorder …
A new automatic sleep staging system based on statistical behavior of local extrema using single channel EEG signal
Over the past decade, converging evidence from diverse studies has demonstrated that
sleep is closely associated with the mental and physical health, quality of life, and safety …
sleep is closely associated with the mental and physical health, quality of life, and safety …
[HTML][HTML] Machine learning with ensemble stacking model for automated sleep staging using dual-channel EEG signal
SK Satapathy, AK Bhoi, D Loganathan… - … Signal Processing and …, 2021 - Elsevier
Sleep staging is an important part of diagnosing the different types of sleep-related disorders
because any discrepancies in the sleep scoring process may cause serious health problems …
because any discrepancies in the sleep scoring process may cause serious health problems …
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 …
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 …
Sleep stage classification using single-channel EOG
MM Rahman, MIH Bhuiyan, AR Hassan - Computers in biology and …, 2018 - Elsevier
Sleep stage classification is an important task for the timely diagnosis of sleep disorders and
sleep-related studies. In this paper, automatic scoring of sleep stages using …
sleep-related studies. In this paper, automatic scoring of sleep stages using …