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

This work proposed a novel method for automatic sleep stage classification based on the
time, frequency, and fractional Fourier transform (FRFT) domain features extracted from a …

Sleep staging is an important part of diagnosing the different types of sleep-related disorders
because any discrepancies in the sleep scoring process may cause serious health problems …

Recently, industrial sectors that stage occupational and environment safety critical tasks,
such as the oil and gas industry, have been interested in monitoring biological parameters to …

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

The analysis of sleep stages for children plays an important role in early diagnosis and
treatment. This paper introduces our sleep stage classification method addressing the …

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

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

This paper proposes a classification framework for automatic sleep stage detection in both
male and female human subjects by analyzing the electroencephalogram (EEG) data of …

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 …