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 …

Automatic sleep staging has been often treated as a simple classification problem that aims
at determining the label of individual target polysomnography epochs one at a time. In this …

Correctly identifying sleep stages is important in diagnosing and treating sleep disorders.
This paper proposes a joint classification-and-prediction framework based on convolutional …

Sleep staging is a vital process conducted in order to analyze polysomnographic data. To
facilitate prompt interpretation of these recordings, many automatic sleep staging methods …

To facilitate the performance comparison of new methods for sleep patterns analysis,
datasets with quality content, publicly-available, are very important and useful. We introduce …

This paper explores two methodologies for drowsiness detection using EEG signals in a
sustained-attention driving task considering pre-event time windows, and focusing on cross …

Abstract Objective Evidence suggests Rapid-Eye-Movement (REM) Sleep Behaviour
Disorder (RBD) is an early predictor of Parkinson's disease. This study proposes a fully …

Objective. To perform automatic sleep scoring based only on intracranial
electroencephalography (iEEG), without the need for scalp EEG), electrooculography (EOG) …

Sleep disorder diseases have one of the major health issues across the world. To handle
this issue the primary step taken by most of the sleep experts is the sleep staging …

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 …