Sleep stage classification using EEG signal analysis: a comprehensive survey and new investigation

KAI Aboalayon, M Faezipour, WS Almuhammadi… - Entropy, 2016 - mdpi.com
Sleep specialists often conduct manual sleep stage scoring by visually inspecting the
patient's neurophysiological signals collected at sleep labs. This is, generally, a very difficult …

A comparative review on sleep stage classification methods in patients and healthy individuals

R Boostani, F Karimzadeh, M Nami - Computer methods and programs in …, 2017 - Elsevier
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 …

A 2D CNN-LSTM hybrid algorithm using time series segments of EEG data for motor imagery classification

J Wang, S Cheng, J Tian, Y Gao - Biomedical Signal Processing and …, 2023 - Elsevier
Motor imagery-based brain–computer interaction (MI-BCI) converts human neural activity
into computational information, often used as commands, by recognizing …

Classification of sleep apnea based on EEG sub-band signal characteristics

X Zhao, X Wang, T Yang, S Ji, H Wang, J Wang… - Scientific Reports, 2021 - nature.com
Sleep apnea syndrome (SAS) is a disorder in which respiratory airflow frequently stops
during sleep. Alterations in electroencephalogram (EEG) signal are one of the physiological …

Promises and challenges in the use of consumer-grade devices for sleep monitoring

S Roomkham, D Lovell, J Cheung… - IEEE reviews in …, 2018 - ieeexplore.ieee.org
The market for smartphones, smartwatches, and wearable devices is booming. In recent
years, individuals and researchers have used these devices as additional tools to monitor …

Sleep apnea detection based on rician modeling of feature variation in multiband EEG signal

A Bhattacharjee, S Saha, SA Fattah… - IEEE journal of …, 2018 - ieeexplore.ieee.org
Sleep apnea, a serious sleep disorder affecting a large population, causes disruptions in
breathing during sleep. In this paper, an automatic apnea detection scheme is proposed …

Efficient obstructive sleep apnea classification based on EEG signals

WS Almuhammadi, KAI Aboalayon… - 2015 Long Island …, 2015 - ieeexplore.ieee.org
Nowadays, analyzing EEG signals has made it easy to diagnose many sleep-related
breathing disorders such as Obstructive Sleep Apnea (OSA), which is a potentially serious …

An efficient method to detect sleep hypopnea-apnea events based on EEG signals

Y Wang, S Ji, T Yang, X Wang, H Wang, X Zhao - IEEE Access, 2020 - ieeexplore.ieee.org
Hypopnea refers to the state in which insufficient alveolar ventilation during night sleep
decreases the respiratory airflow by more than 50% of the airflow. However, sleep apnea is …

Sleep apnea diagnosis using complexity features of EEG signals

B Gholami, MH Behboudi, A Khadem, A Shoeibi… - … Work-Conference on …, 2022 - Springer
Sleep apnea syndrome is one the most prevalent sleep disorders. The accurate diagnosis
and treatment of apnea by physicians can help to avoid its destructive effects in the long …

Automatic detection of sleep apnea events based on inter‐band energy ratio obtained from multi‐band EEG signal

S Saha, A Bhattacharjee… - Healthcare technology …, 2019 - Wiley Online Library
Sleep apnea is a potentially serious sleep disorder characterised by abnormal pauses in
breathing. Electroencephalogram (EEG) signal analysis plays an important role for detecting …