Latest AI and machine learning research in seizures for healthcare professionals.
Alzheimer's disease (AD), a neurodegenerative disorder characterized by progressive cognitive declin...
The brain-computer interface (BCI) P300 speller analyzes the P300 signals from the brain to achieve ...
Efficient processing of large-scale time-series data is an intricate problem in machine learning. Co...
Centrotemporal spike-waves (CTSWs) are typical interictal epileptiform discharges (IEDs) observed in...
Emotion recognition is a key attribute for realizing advances in human-computer interaction, especia...
With modern population growth and an increase in the average lifespan, more patients are becoming af...
OBJECTIVE: Since 2007, the authors have performed 34 hemispherotomies and 17 posterior quadrant disc...
Normal life can be ensured for schizophrenic patients if diagnosed early. Electroencephalogram (EEG)...
Automated interictal epileptiform discharge (IED) detection has been widely studied, with machine le...
. Auditory attention decoding (AAD) determines which speaker the listener is focusing on by analyzin...
An automated sleep stage categorization can readily face noise-contaminated EEG recordings, just as ...
Humans experience a variety of emotions throughout the course of their daily lives, including happin...
During the past two decades, epileptic seizure detection and prediction algorithms have evolved rapi...
An efficient feature extraction method for two classes of electroencephalography (EEG) is demonstrat...
Pneumoconiosis staging has been a very challenging task, both for certified radiologists and compute...
Brain-Computer Interface (BCI) has become an established technology to interconnect a human brain an...
Electroencephalogram (EEG) based seizure types classification has not been addressed well, compared ...
Magnetoencephalography (MEG) is a useful tool for clinically evaluating the localization of interict...
The development of validated algorithms for automated handling of artifacts is essential for reliabl...
Machine-learning systems that classify electroencephalography (EEG) data offer important perspective...
OBJECTIVE: In drug-resistant temporal lobe epilepsy, automated tools for seizure onset zone (SOZ) lo...