A novel sleep staging network based on multi-scale dual attention

A Systematic Review of Sensing Technologies for Wearable Sleep Staging

(2021) Syed Anas Imtiaz   SENSORS

A single-channel EEG based automatic sleep stage classification method leveraging deep one-dimensional convolutional neural network and hidden Markov model

(2021) Bufang Yang et al.   Biomedical Signal Processing and Control

Automatic sleep stage classification using time–frequency images of CWT and transfer learning using convolution neural network

(2020) Pankaj Jadhav et al.   Biocybernetics and Biomedical Engineering

Intra- and inter-epoch temporal context network (IITNet) using sub-epoch features for automatic sleep scoring on raw single-channel EEG

(2020) Hogeon Seo et al.   Biomedical Signal Processing and Control

A Deep Learning Model for Automated Sleep Stages Classification Using PSG Signals

(2019) Ozal Yildirim et al.   International Journal of Environmental Research and Public Health

Deep Residual Shrinkage Networks for Fault Diagnosis

(2019) Minghang Zhao et al.   IEEE Transactions on Industrial Informatics

A Novel Multi-Class EEG-Based Sleep Stage Classification System

(2018) Pejman Memar et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

Sleep, Sleep Disorders, and Sexual Dysfunction

(2018) Jae Wook Cho et al.   World Journal of Mens Health

Robust sleep stage classification with single-channel EEG signals using multimodal decomposition and HMM-based refinement

(2018) Dihong JIANG et al.   EXPERT SYSTEMS WITH APPLICATIONS

Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification

(2018) Huy Phan et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

DeepSleepNet: A Model for Automatic Sleep Stage Scoring Based on Raw Single-Channel EEG

(2017) Akara Supratak et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

Automatic sleep stages classification based on iterative filtering of electroencephalogram signals

(2017) Rajeev Sharma et al.   NEURAL COMPUTING & APPLICATIONS

Learning machines and sleeping brains: Automatic sleep stage classification using decision-tree multi-class support vector machines

(2015) Tarek Lajnef et al.   JOURNAL OF NEUROSCIENCE METHODS

Automatic sleep stage classification based on sparse deep belief net and combination of multiple classifiers

(2015) Junming Zhang et al.   TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL

Sleep Problems: An Emerging Global Epidemic? Findings From the INDEPTH WHO-SAGE Study Among More Than 40,000 Older Adults From 8 Countries Across Africa and Asia

(2012) Saverio Stranges et al.   SLEEP