Automated identification of sleep states from EEG signals by means of ensemble empirical mode decomposition and random under sampling boosting
AR Hassan, MIH Bhuiyan - Computer methods and programs in …, 2017 - Elsevier
Background and objective: Automatic sleep staging is essential for alleviating the burden of
the physicians of analyzing a large volume of data by visual inspection. It is also a …
the physicians of analyzing a large volume of data by visual inspection. It is also a …
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 scoring of the Sleep Heart Health Study using deep neural networks
Abstract Study Objectives Polysomnography (PSG) scoring is labor intensive and suffers
from variability in inter-and intra-rater reliability. Automated PSG scoring has the potential to …
from variability in inter-and intra-rater reliability. Automated PSG scoring has the potential to …
Expert-level automated sleep staging of long-term scalp electroencephalography recordings using deep learning
Abstract Study Objectives Develop a high-performing, automated sleep scoring algorithm
that can be applied to long-term scalp electroencephalography (EEG) recordings. Methods …
that can be applied to long-term scalp electroencephalography (EEG) recordings. Methods …
Automatic sleep stage classification with single channel EEG signal based on two-layer stacked ensemble model
J Zhou, G Wang, J Liu, D Wu, W Xu, Z Wang, J Ye… - IEEE …, 2020 - ieeexplore.ieee.org
Sleep stage classification, including wakefulness (W), rapid eye movement (REM), and non-
rapid eye movement (NREM) which includes three sleep stages that describe the depth of …
rapid eye movement (NREM) which includes three sleep stages that describe the depth of …
A two-step automatic sleep stage classification method with dubious range detection
Background The limitations of the current systems of automatic sleep stage classification
(ASSC) are essentially related to the similarities between epochs from different sleep stages …
(ASSC) are essentially related to the similarities between epochs from different sleep stages …
Automatic stage scoring of single-channel sleep EEG using CEEMD of genetic algorithm and neural network
Using an intelligent method to automatically detect sleep patterns in medical applications is
one of the most important challenges in recent years to reduce the workload of physicians in …
one of the most important challenges in recent years to reduce the workload of physicians in …
Reconstruction of physiological signals using iterative retraining and accumulated averaging of neural network models
Real-time monitoring of vital physiological signals is of significant clinical relevance.
Disruptions in the signals are frequently encountered and make it difficult for precise …
Disruptions in the signals are frequently encountered and make it difficult for precise …
Knowledge-based decision system for automatic sleep staging using symbolic fusion in a turing machine-like decision process formalizing the sleep medicine …
Automatic sleep staging is challenging since several issues need to be addressed.
Traditional approaches from literature do not satisfy medical experts since they do not reflect …
Traditional approaches from literature do not satisfy medical experts since they do not reflect …
[PDF][PDF] Using Sleep Monitoring System for Estimating and Analysing the Sleep Stages
Y Luo, P Wang, K Yu, S Luo… - Pakistan Journal of …, 2021 - researcherslinks.com
Online First Article Page 1 Online First Article Using Sleep Monitoring System for Estimating and
Analysing the Sleep Stages Yuzhou Luo1, ** Wang1, Kaijun Yu2*, Song Luo3 and Longjie …
Analysing the Sleep Stages Yuzhou Luo1, ** Wang1, Kaijun Yu2*, Song Luo3 and Longjie …