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 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 …
A driving fatigue feature detection method based on multifractal theory
F Wang, H Wang, X Zhou, R Fu - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Driving fatigue seriously threatens traffic safety. In our work, the multifractal detrended
fluctuation analysis (MF-DFA) method is proposed to detect driver fatigue caused by driving …
fluctuation analysis (MF-DFA) method is proposed to detect driver fatigue caused by driving …
Ensemble SVM method for automatic sleep stage classification
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 …
Learning machines and slee** 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 …
Analysis and classification of sleep stages based on difference visibility graphs from a single-channel EEG signal
The existing sleep stages classification methods are mainly based on time or frequency
features. This paper classifies the sleep stages based on graph domain features from a …
features. This paper classifies the sleep stages based on graph domain features from a …
A decision support system for automatic sleep staging from EEG signals using tunable Q-factor wavelet transform and spectral features
Background Automatic sleep scoring is essential owing to the fact that conventionally a large
volume of data have to be analyzed visually by the physicians which is onerous, time …
volume of data have to be analyzed visually by the physicians which is onerous, time …
Automatic sleep stage recurrent neural classifier using energy features of EEG signals
This paper presents a recurrent neural classifier for automatically classifying sleep stages
based on energy features from the EEG signal of the Fpz− Cz channel. The energy features …
based on energy features from the EEG signal of the Fpz− Cz channel. The energy features …
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 …
Automatic stage scoring of single-channel sleep EEG by using multiscale entropy and autoregressive models
In this paper, we propose an automatic sleep-scoring method combining multiscale entropy
(MSE) and autoregressive (AR) models for single-channel EEG and to assess the …
(MSE) and autoregressive (AR) models for single-channel EEG and to assess the …