Estimating vigilance level by using EEG and EMG signals

M Akin, MB Kurt, N Sezgin, M Bayram - Neural Computing and …, 2008 - Springer
We developed a new method for estimation of vigilance level by using both EEG and EMG
signals recorded during transition from wakefulness to sleep. Previous studies used only …

Estimation of sleep stages by an artificial neural network employing EEG, EMG and EOG

ME Tagluk, N Sezgin, M Akin - Journal of medical systems, 2010 - Springer
Abstract Analysis and classification of sleep stages is essential in sleep research. In this
particular study, an alternative system which estimates sleep stages of human being through …

[PDF][PDF] EEG waves classifier using wavelet transform and Fourier transform

MM Shaker - brain, 2006 - Citeseer
The electroencephalograph (EEG) signal is one of the most widely signal used in the
bioinformatics field due to its rich information about human tasks. In this work EEG waves …

The ANN-based computing of drowsy level

MB Kurt, N Sezgin, M Akin, G Kirbas… - Expert Systems with …, 2009 - Elsevier
We have developed a new method for automatic estimation of vigilance level by using
electroencephalogram (EEG), electromyogram (EMG) and eye movement (EOG) signals …

[HTML][HTML] Detection and classification of EEG waves

HK Sawant, Z Jalali - Oriental Journal of Computer Science …, 2010 - computerscijournal.org
The Electroencephalograph (EEG) signal is widely used to analyze neural activity within the
human brain for detection of any abnormalities. Since the EEG signal is dynamic by nature …

Brain Region-Based Vigilance Assessment Using Electroencephalography and Eye Tracking Data Fusion

NA Farha, F Al-Shargie, U Tariq, H Al-Nashash - IEEE Access, 2022 - ieeexplore.ieee.org
Vigilance is the capacity to remain alert for an extended time while performing a task.
Staying alert is obligatory in many jobs, particularly those that involve monitoring, such as …