Latest AI and machine learning research in seizures for healthcare professionals.
In this work, EEG spectral features of different subjects are uniquely mapped into a 2D feature spac...
Electroencephalographic (EEG)-based emotion recognition has attracted increasing attention from the ...
Several studies have found evidence for corticolimbic Theta electroencephalographic (EEG) oscillatio...
This paper presents an electroencephalography (EEG) based-classification of between pre- and post-me...
Reaching and grasping are two of the most affected functions after stroke. Hybrid rehabilitation sys...
Monitoring driver's intentions beforehand is an ambitious aim, which will bring a huge impact on the...
We analyze brain waves acquired through a consumer-grade EEG device to investigate its capabilities ...
The ability of correlation integral for automatic seizure detection using scalp EEG data has been re...
This study presents a machine learning approach applied to ElectroEnchephaloGraphic (EEG) response i...
Poor and monotonous work could easily lead to a decrease of arousal level of the monitoring work per...
BACKGROUND: The aim of this study was to determine if levetiracetam (LEV) is neuroprotective in neon...
Stroke is the leading cause of permanent disability in developed countries; its effects may include ...
The interpretation of electroencephalograms (EEGs) is a process that is still dependent on the subje...
In this paper, experimental neurophysiologic recording and statistical analysis are combined to inve...
In thought-based steering of robots, error potentials (ErrP) can appear when the action resulting fr...
The performance of a microsleep detection system was calculated in terms of its ability to detect th...
Anti-convulsive drug treatments of epilepsy typically produce varied outcomes from one patient to th...
The loss of hand function can result in severe physical and psychosocial impairment. Thus, compensat...
Sleep electroencephalogram (EEG) is an important index in diagnosing sleep disorders and related dis...
Motor imagery EEG-based BCI has advantages in the assistance of human control of peripheral devices,...
BACKGROUND: Advanced intelligent methodologies could help detect and predict diseases from the EEG s...