A review of automated sleep stage scoring based on physiological signals for the new millennia
Abstract Background and Objective Sleep is an important part of our life. That importance is
highlighted by the multitude of health problems which result from sleep disorders. Detecting …
highlighted by the multitude of health problems which result from sleep disorders. Detecting …
Automated detection of sleep stages using deep learning techniques: A systematic review of the last decade (2010–2020)
Sleep is vital for one's general well-being, but it is often neglected, which has led to an
increase in sleep disorders worldwide. Indicators of sleep disorders, such as sleep …
increase in sleep disorders worldwide. Indicators of sleep disorders, such as sleep …
Cascaded LSTM recurrent neural network for automated sleep stage classification using single-channel EEG signals
Automated evaluation of a subject's neurocognitive performance (NCP) is a relevant topic in
neurological and clinical studies. NCP represents the mental/cognitive human capacity in …
neurological and clinical studies. NCP represents the mental/cognitive human capacity in …
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 …
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 …
A deep convolutional neural network model for automated identification of abnormal EEG signals
Electroencephalogram (EEG) is widely used to monitor the brain activities. The manual
examination of these signals by experts is strenuous and time consuming. Hence, machine …
examination of these signals by experts is strenuous and time consuming. Hence, machine …
An accurate sleep stages classification system using a new class of optimally time-frequency localized three-band wavelet filter bank
M Sharma, D Goyal, PV Achuth, UR Acharya - Computers in biology and …, 2018 - Elsevier
Sleep related disorder causes diminished quality of lives in human beings. Sleep scoring or
sleep staging is the process of classifying various sleep stages which helps to detect the …
sleep staging is the process of classifying various sleep stages which helps to detect the …
Automatic sleep stages classification based on iterative filtering of electroencephalogram signals
Computer-aided sleep monitoring system can effectively reduce the burden of experts in
analyzing the large volume of electroencephalogram (EEG) recordings corresponding to …
analyzing the large volume of electroencephalogram (EEG) recordings corresponding to …
Use of features from RR-time series and EEG signals for automated classification of sleep stages in deep neural network framework
RK Tripathy, UR Acharya - Biocybernetics and Biomedical Engineering, 2018 - Elsevier
Sleep is a physiological activity and human body restores itself from various diseases during
sleep. It is necessary to get sufficient amount of sleep to have sound physiological and …
sleep. It is necessary to get sufficient amount of sleep to have sound physiological and …