Apnea is a sleep disorder that stops or reduces airflow for a short time during sleep. Sleep
apnea may last for a few seconds and happen for many while sleeping. This reduction in …

Automatic sleep stage mymargin classification is of great importance to measure sleep
quality. In this paper, we propose a novel attention-based deep learning architecture called …

The identification and classification of human brain activities are essential for many medical
and Brain-Computer Interface (BCI) systems, saving human lives and time …

Motor imagery electroencephalography (MI-EEG) signals are generated when a person
imagines a task without actually performing it. In recent studies, MI-EEG has been used in …

Obstructive sleep apnea (OSA) is a sleep breathing disorder that can seriously affect the
health of patients. The manual diagnostic of OSA through the Polysomnography (PSG) …

Background and objective: Single-channel EEG is the most popular choice of sensing
modality in sleep staging studies, because it widely conforms to the sleep staging …

Sleep staging is of great importance in the diagnosis and treatment of sleep disorders.
Recently, numerous data-driven deep learning models have been proposed for automatic …

Automatic sleep stage classification plays an essential role in sleep quality measurement
and sleep disorder diagnosis. Although many approaches have been developed, most use …

Nowadays, many sleep staging algorithms have not been widely used in practical situations
due to the lack of persuasiveness of generalization outside the given datasets. Thus, to …

Objective. Motor imagery-based brain–computer interface (MI-BCI) is one of the most
important BCI paradigms and can identify the target limb of subjects from the feature of MI …