Epileptic seizures are characterised by abnormal neuronal discharge, causing notable
disturbances in electrical activities of the human brain. Traditional methods based on manual …

The electroencephalogram (EEG) signals are commonly used in diagnosing and treating
sleep disorders. Many existing methods for sleep stages classification mainly depend on the …

Background Epilepsy is a brain disorder that is mainly diagnosed by neurologists based on
electroencephalogram (EEG) recordings. Epileptic EEG signals are recorded as …

Experts usually inspect electroencephalogram (EEG) recordings page-by-page in order to
identify epileptic seizures, which leads to heavy workloads and is time consuming. However, …

Seizure detection is a particularly difficult task for neurologists to correctly identify the
Electroencephalography (EEG)-based neonatal seizures in a visual manner. There is a strong …

Electromyogram (EMG) signals have had a great impact on many applications, including
prosthetic or rehabilitation devices, human-machine interactions, clinical and biomedical areas. …

Although the number of cloud projects has dramatically increased over the last few years,
ensuring the availability and security of project data, services, and resources is still a crucial …

Sleep stage scoring is a challenging task. Most of existing sleep stage classification approaches
rely on analysing electroencephalography (EEG) signals in time or frequency domain. A …

Effective sleep monitoring from electroencephalogram (EEG) signals is meaningful for the
diagnosis of sleep disorders, such as sleep Apnea, Insomnia, Snoring, Sleep Hypoventilation, …

Background and Objective Sleep scoring is important in sleep research because any errors
in the scoring of the patient's sleep electroencephalography (EEG) recordings can cause …